WO2014051457A1 - Method and device for identifying and assessing the state of consciousness of a subject - Google Patents

Description

 METHOD AND DEVICE FOR IDENTIFICATION AND ASSESSMENT OF STATE

 CONSCIOUSNESS OF THE OBJECT

Technical field

 The claimed group of inventions relates to human psychophysiology, medicine, biometrics, bioinformatics, biostatistics, information technology, devices and measurement principles for diagnostic and identification tasks, and can be used in any field of activity that requires the identification of an object, the identification of conscious actions and (or) determination of the state of his consciousness. The group of inventions can be used to identify any object, monitor clarity or change of state of consciousness, as well as to determine states of consciousness that can be described as temporary, functional or transient disorders and / or damage.

 State of the art

 Most objects, including humans, vertebrates and invertebrates, are built on the principle of bilateral (bilateral) symmetry, when the entire object is divided into two halves - the right and left. The boundary between them is the median (median) plane, located vertically and oriented from front to back in the sagittal direction (from the Latin. Sagitta - arrow). The median (median plane) divides the space inside the object and outside of it into the right and left halves.

 There are no absolutely symmetric or asymmetric objects. This postulate is the basis of the proposed solutions.

The functional asymmetry of the person and his brain is a fundamental characteristic that reflects the individual typological characteristics of the personality and causes the manifestation of various forms of consciousness not only in humans, but also in animals. The data are presented in monographs and scientific publications: Bianchi V.L. Mechanisms of the paired brain. L., 1989., Dobrokhotova T.A., Bragina N.N. Functional asymmetry of a person. M., 1981., Springer C, Deutsch G. Left brain, right brain. M.: Mir, 1983. Functional interhemispheric asymmetry. An anthology. Ed. N.N. Bogolepova, V.F. Fokina. M .: Scientific world, 2004. Shulgovsky VV Physiology of GNI with the basics of neurobiology. M: 2003. The regularity of a change in the state of consciousness, its adequacy, individual typological characteristics of a person, and the technique that allows for individual personification of a person are described in the monograph by V. Shanin: Regularities of consciousness. Introduction to the theory of inversion of distributed systems. Saratov, 2004 .-- 192 p. The monograph describes the pattern of change in consciousness when dosing the subjects with drugs for anesthesia, which are recorded by recording an electroencephalographic recording. It was revealed that changes in the state of consciousness are directly dependent on and related to the dynamics of the functional asymmetry of the brain in its disorder from a clear waking state to deep narcotic sleep.

 There are a large number of methods for determining interhemispheric and functional asymmetry of a person, used for various scientific and practical purposes:

 - by a general analysis of facial asymmetry (see patent RU2431442, IPC АВВ 5/107, А61Н39 / 00);

 by assessing the level of functionality of the central nervous system (see patent RU2258453, IPC АВВ 5/00), according to which the sensorimotor test is performed with the right and left hand, based on the results of which the hemisphere asymmetry coefficient is calculated;

 based on the analysis of a series of sound clicks presented through the headphones to an individual using pair pulses with a step of 10 μs simulating the movement of a sound image in the subjective field from the middle plane of the head to any ear (see patent RU2131215, IPC АВВ 5/16);

 - by thermometry and measurement of perspiration on the skin of the right and left hands in the projection of the flexors and extensors, as well as at the ends of the phalanges, (see patent RU2222255, IPC АВВ 5/01);

 by testing according to standard methods of functional asymmetry at least 5 times with an interval of 1 day (see patent RU2161012, IPC АВВ 5/16).

Common disadvantages of the above methods is that only the asymmetry of the person is studied, while the asymmetry taken into account cannot be used to identify objects and the methods do not connect the found asymmetry with the state of consciousness of the subject. There are various methods of identifying biological objects according to morphological and phenotypic data recorded in a particular individual. These include well-known methods and existing recognition systems: fingerprint features (papillary patterns), hands (anatomical features, heat map), iris, face, body, voice, signature, keyboard handwriting, etc.

 Known technical solutions that describe methods and devices that allow you to identify, predict and warn about changes in the state of consciousness during its disorders that distinguish them from clear wakefulness, automatically, and monitor them by observation, using specialized sensors and equipment to assess head activity brain and the detection of transitional states, including drowsiness, by receiving signals when registering physiological functions: electroencephalograms, elec romiograms, etc., and using a comparison of two or more pair signals that allow the detection of a transition of consciousness into altered forms, signaling about it, using mathematical methods during registration, including using calculations using special algorithms, information and extraction from the recorded flow - informatively significant, which is stored and used for analysis in devices, the proposed technical solution allows you to identify the identity of the operator or subject, monitoring by the curiosity of his consciousness, i.e., to assess the adequacy of the subject’s consciousness at a particular moment in time, revealing both superficial and deep changes in the state of consciousness, including without the use of specialized sensors, in conditions different from those specially created for recording and identifying consciousness disorders, calculating, comparing and storing individual typological characteristics of the personality of the operator-subject according to the original algorithm used in its basis, the identified relationship of changes is conscious niya with changes in the profile of individual asymmetry of man.

Known methods, systems and devices for detecting special conditions of the psyche and consciousness and observing an altered state of consciousness that differs from clear wakefulness (see, for example, patents RU 2290061, IPC A61B5 / 0476, RU 2330607, IPC A61B5 / 0476, US8024032, IPC A61B5 / 0476 , CN 101987017, A61B5 / 048, a.s. SU1814875, IPC A61B 5/16, a.s. SU1581278, IPC s A61B 5/16). A number of these patents are based on monitoring the state of the electroencephalogram.

 However, methods that rely solely on the registration of one basic parameter in the work of the brain — bioelectric activity — cannot pretend to be sufficiently accurate and informative.

 There are a number of methods for assessing the state of human consciousness, including its altered forms, such as fatigue, drowsiness, etc. (see patents RU2429780, IPC АВВ 3/00, RU2434580, IPC А61В 5/16, RU24559256, МПК А61В 5/00).

 The method for determining the mental state (RU2303947), according to which two images are formed, consisting of the left and right halves of the captured face image. The obtained images are subjected to anthropological, anthropometric, psychosomatic analysis, on the basis of which differences in the facial expressions and the degree of asymmetry of the compared elements of the two images are revealed. The results are linked to the severity of mental processes. Express these changes in the fixed parameters, which are used for dynamic monitoring of the patient. In subsequent series of similar photos, the dynamics are recorded. An indicator of positive or negative dynamics is data on the increase or decrease in the differences between the parts of the right and left halves of the face. This method allows you to determine the mental state of the individual according to the image of the person_ with a division into vertical right and left halves. A significant disadvantage of this method is the ability to control only static indicators of the visual image and the object. The lack of the ability to identify the object by dynamic characteristics and identification of not only morphological, but also functional states of the object are important negative features that do not allow us to focus on this invention as a competitive analogue.

A device for determining the psychophysical state and functional capabilities of a person (RU2286090, IPC АВВ 5/16), which contains a block of sensors for measuring electrical resistance and photoplethysmogram sensors, as well as pulsograms and blood pressure. The device generates signals that affect a person, according to the reaction to which a change in parameters is determined, based on which a conclusion is made about the psychophysiological state of a person. The sensor block can be placed on surface of a computer mouse, the surface of the helm, joystick, steering wheel of a car, keyboard. Test stimuli affecting a person, made in the form of sound and light stimuli.

 There are a number of devices for assessing the physiological state of a person: Device for determining the functional state of a person

(RU2446732, АВВ 5/00), which is used to calculate the statistical parameters of functional data on the state of a person.

 A device for determining bilateral asymmetry by skin-galvanic reaction of hands (RU2115364, IPC АВВ 5/16), according to which the asymmetry is estimated by calculating the difference between the skin resistance on different hands of the subject.

 All the methods described earlier are based on the need to read and record fine physiological parameters: bioelectric activity, brain, nerve, muscle impulses, spectrum, muscle tone, skin reactions, which can reliably detect changes in a subject only in special conditions of research laboratories when applied or special equipment, or unique sensors, or require a significant number of specialized sensors. However, these methods, methods, systems and devices do not allow to identify the object and create a holistic picture that reflects the individual’s consciousness, a complete portrait of the person that is objective and reflected at the moment, and, sometimes, identify it without the help of trained personnel, do not take into account functional asymmetry of the cerebral hemispheres, which significantly reduces their accuracy and practical use, which in turn can significantly distort the results, introduce significant errors and inaccuracies calculations.

 The disadvantages of these methods is that they take into account the asymmetry in one of the parameters and do not associate the found asymmetry with the identification of the object and do not identify the state of consciousness of the test object.

 SUMMARY OF THE INVENTION

The objective of this group of inventions is to develop a universal criterion suitable for identifying an object and assessing the state of consciousness of an object based on an analysis of asymmetry parameters. The state of consciousness is evaluated when the object is an object having morphological and functional signs, which in turn can be divided (classified) into the right and left halves.

 The technical result consists in the fact that the proposed technical solutions, using a number of generally accepted and well-established techniques for identifying a person, assessing and identifying a state of consciousness (its changes or disorders), can accumulate their most powerful aspects, but realize them from fundamentally different positions, using the principles of well-known technical solutions to carry out personal identification and assess the state of consciousness, as their disorders, changes and disorders, at a fundamentally new level, By pairwise monitoring the measured parameters, which significantly increases the accuracy of registration and calculations, it allows to simplify the device, increase speed and its performance, introduce prognostic criteria for identifying disorders, realizing in itself (the device) a new scientific regularity with an original algorithm on a specially created intelligent virtual platform .

The problem is solved in that a method for determining the asymmetry profile of an object is proposed, which includes introducing the object into the coordinate system, dividing the object into left and right parts, pairwise measurement of homogeneous (similar) characteristics of the object in the left and right parts, and determining the asymmetry profile in the form of a vector · ^'" '""-Dimensional space, where ^{n ~ 3} is the total number of measured characteristics and

k = h (l - r) l (l +) I g h parameters, ' ^l '"',where' and 'are the measured characteristics, and' is the normalization factor, along the corresponding axis of the coordinate system.

 The normalization factor is selected in such a way as to convert the results of the evaluation of the asymmetry profile component in accordance with the measurement scale used.

 As an object, an object of animate or inanimate nature can be selected.

The morphological and behavioral parameters of the motor and / or sensory and / or mental spheres regulated by the left and right hemispheres of the brain (when a person acts as an object) are chosen as the measured characteristics. As morphological characteristics, the physical and / or chemical and / or biological parameters of the object, taken pairwise symmetrically, are selected. As the psychic parameters of the motor sphere, the motor-motor functions of the object are measured pairwise-symmetrically.

 As parameters of the sensory sphere, the sensually perceived functions of the object are measured, recorded pairwise-symmetrically, such as hearing, vision, thresholds of pain, temperature or chemical sensitivity.

 As behavioral parameters of the mental sphere, the results of psychosensory and psychomotor acts and / or the functional activity of the right and left hemispheres of an object are measured in a pair-symmetrical manner.

 Identification of an object or assessment of an individual’s state of consciousness is carried out by the difference between the calculated current asymmetry profile and the reference asymmetry profile. If the difference of at least 2/3 of the components of the vectors is less than 0.17, then the object is identified, or if the object is already identified, the state of consciousness of the object is evaluated as corresponding to a predetermined state.

 In this case, the sequence of parameters when measuring the current profile and the reference profile does not change.

 To implement the methods, a device is proposed that is capable of measuring the necessary characteristics and parameters, calculating profiles and their difference.

 Let us define in the following paragraphs the meaning of a number of terms used further in the context of the present invention.

 An object (Latin objection — an object) is a certain existing category expressing something that is present in real objective reality regardless of consciousness — the object, phenomenon, or process to which the subject-practical and cognitive activity of the subject (observer) is directed.

Moreover, the subject itself and the forms of its activity can act as an object.

Reality (objective reality) - the realized reality in its entirety - the reality of not only things, but also materialized ideas, goals, ideals, generally accepted knowledge, public institutions. In contrast to reality, reality also includes everything ideal that took on a material, material character in the form of various products of human activity — the world, generally accepted knowledge, morality, state and law. Consciousness is an object and a form of objective reality, capable of being reflected in the behavior and psyche of a person and realized through them.

 Consciousness is a function realized by the brain, and allowing you to perform complex active behavioral acts, to become aware of yourself and navigate in the environment. It is possible to assess the state of consciousness by examining the electroencephalogram of brain regions, which shows their electrical activity, which, in turn, characterizes the state of the brain that realizes the consciousness of the individual. The brain of each individual, being its unique organ, exhibits activity, which also has its own mosaic pattern, inherent only to this individual at each moment of time, while retaining the main individual features of the functional asymmetry and morphological features of the structure of its realizing state of the organ — the brain. The use of this postulate allows identification of the substrate — an organ, which is the brain of an individual that realizes its unique activity and function, which allows it to be personified and, therefore, to determine the body that implements it, and also by analyzing the characteristics of brain activity (or its indirect manifestations), it is possible to identify state of consciousness in which a given organism is at a certain point in time, determining its active wakefulness, agitation, fatigue, distracted attention, intoxicated e stunning and m. p.).

 The reference model of the object (English reference model, master model) is an ordered sequence (vector) of asymmetry coefficients, calculated on the basis of pair measurements of characteristic features, measured symmetrically from the left and right sides relative to the middle plane, pairwise, pairwise compared and calculated, where elements of pairs - components of a vector can have different, but comparable by the principle of symmetry-asymmetry values and conceptual relationships between them, allowing its classification and detection, among other reference models. Based on the reference model, more specific and detailed models (standards) are constructed, which ultimately are a mathematical description of a real-life object and (or) its state in this method.

The standard of the object (French etalori) - a sample of the object, presented in a complex and sequence of measurements, ensuring its reproduction and (or) storage as a unit, as well as the ability to transfer its size to subordinate measuring instruments according to the verification scheme and approved as a standard in the established manner with this method of calculating it. The method can use such concepts for measurements as the source, primary, secondary, working standards and the standard of comparison.

 The image of an object (information) is information about it or its description, structurally similar, but not coinciding with it.

устройство, организация»)— группа в классификации, состоящая из дискретных объектов, объединяемых на основании общих свойств и признаков (например, парных и непарных органов: глаз, ушей, почек, сосудов, нервов и т.д.). Taxon (lat, taxon, plural taxa; from

device, organization ”) - a group in the classification, consisting of discrete objects, united on the basis of common properties and signs (for example, paired and unpaired organs: eyes, ears, kidneys, blood vessels, nerves, etc.).

 A brief description of the drawings.

 The invention is illustrated by drawings.

 In FIG. 1 is a structural diagram of an embodiment of a device for assessing a state of consciousness or identification of a person. The determination of the state of consciousness and identification are made on the basis of comparing the profiles obtained as a result of testing with standards. The reference is the profile obtained when testing the identified object for a known state of consciousness in the process of expert testing or self-testing.

 In FIG. 2 - marking for drawing a zip code digit.

 In FIG. 3 - standardized and accepted styles of numbers of the postal code.

 In FIG. 4 is an image of a nine-component vector.

 In FIG. 5 is a table of pairs segments.

 In FIG. 6 is an image of an object (unit) in a mail drawing entered into a coordinate system, divided into pairs (segmented).

 In FIG. 7 - CT scan of the brain of Patient O.

 On Fig - CT slice with the middle line.

 In Fig.9 - CT slice with a median line and marked areas.

 In FIG. 10 - CT image of a slice of a patient O., normalized in brightness, 43 years old.

In FIG. 11 is an image of a reference model for calculating a 230 component vector identifying an image of an object by brightness.

The measured paired parameters of an individual are recorded in pairs (data are obtained immediately from two sides and from two sensors simultaneously), you can register with objective methods: physical, chemical and medical methods, supplementing them with special samples, laboratory control of tissues and biological fluids of the individual.

 By registering paired sets of parameters in the process of a person performing complex actions that require a certain behavior, the current information image of his state of consciousness is built. Comparing this information image with the reference images obtained earlier when testing the same individual under expertly created conditions aimed at a positive result of behavior, it is possible to identify the difference between the compared samples, which allows us to evaluate the current state of consciousness of the test person and previously obtained in a state of consciousness that was evaluated by experts . Such a comparison makes it possible to identify changes in the state of consciousness and to carry out their qualitative and quantitative differentiation by identifying differences between the standard and a really readable way.

 Features and changes in the state of consciousness are manifested by external signs: behavioral acts and reflexes reflecting the activity of the brain, the functions of the physiological life support systems of the subject. For example, an assessment of disorders in the state of consciousness and brain activity can be carried out by measuring the bioelectrical activity of the cerebral hemispheres, examining the electroencephalogram of the brain regions, which shows their electrical activity, which, in turn, characterizes the state of the brain that realizes the consciousness of the individual.

 When assessing the adequacy of the state of consciousness and its altered states, the state of individual asymmetry of a person is determined and the state of dominant relations of the cerebral hemispheres is revealed, which are manifested during their friendly work, which additionally allows the identification of the test object.

 The implementation of the invention.

The method includes the following steps.

Job analysis

 1. Definition of an object, its models and standards.

 2. Introduction of the object to the coordinate system and calculations.

To introduce an object into the coordinate system, we apply symmetry, which is a diverse regularity of the organization of the shape of the object and regarded as an effective means of bringing it to unity. To implement the method, each object should be divided into right and left halves, drawing a midline. At an arbitrary distance from it to the right and left, an infinitely large number of lines can be drawn that will be symmetrical to each other, if the points that make up the symmetrical lines are equidistant from the middle line, then they speak of pair-symmetric lines, and the points located on them are considered pair-symmetric. If the curves are not drawn, then they speak of pairwise symmetric curves, and the points located on them are considered pairwise symmetric, etc. Significant is the presence of special characteristics that have the same properties, but located on different sides from the middle plane. Any two selected elements (points, etc., i.e., commensurate pairwise conjugate characteristics of an object) located on symmetrical lines, planes in symmetrical regions and spaces are considered an ordered pair. A pair consists of two elements, the first element located on the right is denoted by R, and the second located on the left is denoted by L. Lines and planes can be drawn in any direction, provided that their symmetry is preserved relative to each other in the right and left spaces, for example: right and left front, right and left side and right and left rear of the object, right and left top, right and left bottom, etc. Symmetric lines and planes can intersect, but their intersection will always be on the median line or intersect the median plane. Many symmetric and asymmetric points, lines and planes form space. Space is understood as a place in which movement, various positions and relative positions of objects, proximity-distance relationships, the concept of direction, the arena of events and actions, universally containing all places and containing objects and structures, are possible; as a specific place, largely determining the essence of the events taking place in it. A pair located on symmetrical lines and (or) planes and (or) located in symmetric planes and (or) spaces is comparable, regardless of the static or dynamic position of the object in space. At one position of the object, the values of the elements of the pair may coincide, then they speak of the symmetry of the pair, in another position of the object the values of the elements of the pair may not coincide, then they speak of the asymmetry of the pair.

3. Election of pairs and vector calculus To identify the object, ordered pairs are selected located on different symmetrical lines and planes, in different symmetric regions and spaces.

 As the number of selected pairs increases, the accuracy of object identification increases.

 Pairs are selected and taken into account in the order and sequence that is used for calculus for this type of identification and detection of the obtained samples.

 As elements of a pair, only homogeneous, comparable data, characteristics and values can be used from a morphological or functional point of view, which are selected as a pair and make up this pair.

The selected order and sequence of arrangement of pairs of objects is considered as VECTOR - (identifier, sequence, tuple, frame, etc.), which is assigned to the object and subsequently used for identification, using it as a reference model for a sample of this object. Vector creates an information image of an object, and components - measurements in this space. Moreover, only vectors located in one space are comparable. Those. the vector <A, B, C> and <A, B, O are comparable, and the vector <B, A, C> is no longer there, since it is located in another space, although it consists of the same components. A nonempty set of right and left spaces in which the operations of selecting and accounting for pairs are introduced - vector spaces to which all mathematical laws and laws apply. Elements of sets of right and left spaces in calculus are considered vectors. A non-empty subset of vectors of the right and left spaces respectively form the right and left subspaces. The ordered collection (χ ι, χ ₂ , ..., x _n ) n of real numbers is called the n - dimensional vector, and the numbers x j (i = 1. ") are called the components of the vector or its coordinates. Two vectors are called equal if they have the same number of components and their corresponding components are equal. Elements of a vector determine the state of the object that models this vector. Homogeneous components of a vector are components of the same type that make up this vector. The defining component of a vector is the type of component that is able to identify and (or) classify an object. Different types of vector elements can also define an object class and classify an object that they are modeling.

 4. The choice of registration methodology (the sequence of 4 actions can be changed to items 1. or 2. of the sequence of actions).

 The use of registration methods for morphological and functional features of an object or its image for identification is determined primarily by the relative stability of these features. The choice of registration technique depends on the type of information that will reproduce the image of the object. The method involves registration by the morphological and functional type of collecting information about the object: The morphological method of recording information involves the study of the external structure (form, structure, color, type) of samples, the whole organism, taxon or its components and the internal structure of the object in accordance with the principles of symmetry and asymmetries. In addition, the method allows the use of generally recognized methods for identifying an object and a person, if they are established by other means (passport data, identification by serial number, etc.). Data is entered into the reference model and assigned to the object as the determining component of the vector. Methods can be divided into registration of external morphology and internal morphology, the structure and organization of the object (anatomy, histology, pathological anatomy). As a result of morphological registration, a vector is calculated corresponding to the morphological information image of the object. The components of this vector are decisive in identifying an object and have a higher hierrachic classification significance in comparison with functional registration methods. This is due to the fact that the stability of morphological characters is determined by the constancy of the structure of the object (for example: bone-cartilage, muscle, vascular and nervous systems). Morphological methods for recording information are not used to register states of consciousness due to the slow dynamics of their changes over time.

A functional technique for recording information - it implies a study of the laws of functioning of an object, changes and deviations of its functions in accordance with the signs of their symmetry and asymmetry, respectively, in the right and left subspaces. Functional features of an object are used in the method as methods of functional registration of information and identification of an object. Their property varies widely in the continuation of a short time (up to 24 hours), allows you to steadily and fairly reliably determine changes in the state of the brain. Functional techniques for recording information are applied in the method and for identifying an object, because significant changes (deviations) in the totality of functional features and the object does not occur even over a long time (more than 24 hours). The object retains complexes of functional signs, which are caused by the features of the organization of regulatory, neuropsychic processes, systematic regulation and functional asymmetry in the work of the cerebral hemispheres and effector systems of the test object. The more complex a multicomponent functional feature can be registered, the more stable the image is assigned to the object as a reference model.

 The choice of registration technique depends on the method of recording information and the nature of the medium that reproduces the image of the object. The method involves:

 The visual technique of registering an image of an object, registering and evaluating an image — something that looks like an object but is not an object (for example: photography, video, holography);

 An audio technique for registering an image of an object, registration and evaluation of sound waves emanating from an object — that information that creates an auditory image of an object but is not an object (for example: audio recording of characteristic sounds recorded by dopplerography of human vessels on the right and left by independent sensors, etc. .);

 The method of registering physical indicators — registration and assessment of the physical characteristics of an object — is something that physically belongs to the object but is not the object (for example: the level of tissue resistance, temperature, speed, frequency, etc.);

 The methodology for registering chemical indicators - registration and assessment of chemical and biochemical properties and characteristics of an object, taken independently in the right and left halves of the object — what is chemically owned and taken from the object, but is not an object (for example: the level of urea concentration in the right and left ureter, the level of oxygen and glucose in the tissues of the hands, etc.);

The methodology for registering sensitivity indicators - registration and assessment of thresholds of sensitivity and response to the sensor signal of an object, recorded independently in the right and left spaces around the object and the right and left halves of the object itself — what is sensory belongs to and obtained with the help of the object, but it is not the object (for example: the level of pain sensation threshold on the right and left, the level of perception of odor and taste concentrations on the right and left);

 The technique for registering indicators of motor and (or) psychomotor activity of an object is the registration and assessment of motor reactions and psychomotor response and (or) the response of an object to an irritating stimulus and (or) psychomotor and (or) psychosensory signal, recorded independently in the right and left spaces around the object and the right and (or) in its left and right halves - what is motorly owned and obtained with the help of the object, but is not an object (for example: speed, frequency, force, range of motion of arms, legs, reaction to external substances nye or virtual incentives right and left and Ap);

 The technique for registering indicators of sensory and (or) psychosensory activity of an object is the registration and evaluation of sensory reactions and psychosensory response and response of an object to an irritating stimulus and (or) psychomotor and (or) psychosensory signal (s), recorded independently in the right and left spaces around the object and the right and (or) in its left and right halves - what is sensory belongs and obtained with the help of the object, but the object is not (for example: the magnitude of the perception of the acoustic signal by the ears, the visual power of the eyes, is reacted to external sound or light stimuli presented to the right and left, etc.).

 The choice of registration technique depends on the complexity and amount of information being recorded and is divided into simple and complex registration techniques that will reproduce the image of the object and can have both separately described techniques and combinations of several registration techniques to identify the object.

5. Object identification

A device for identifying an object and assessing the state of its consciousness can be a specialized hardware-software computing complex, implemented as an independent device, or as a component of a device system, or as software for a personal computer. In particular, the program code of the program can be stored on a computer-readable storage medium for implementing the method when it is run on a digital a reader (computer, microprocessor, etc.).

 Specialized hardware consists in the possibility of implementing pairwise symmetric input / output of signals acting and removed from different halves of the object, relative to a certain line of symmetry. The software consists of a component for calculating the asymmetry profile based on the data obtained during testing, a module for comparing asymmetry profiles and a database containing previously obtained profiles indicating the state of consciousness and identified with respect to the individual for whom they were obtained.

 The technical solution is based on obtaining a dynamic assessment of the determined individual asymmetry profile, manifested in the form of inequality of the totality of the reflected functions of the brain, its pathways and synoptic connections at the neurohumoral level, in the motor, sensory and mental spheres and their combinations, obtained by their assessment and classification, identified by specific activity in the areas taken into account, as a changing identified individual asymmetry profile, identified by the difference taken into account in solution of the proposed tasks of the individual’s functions and characterized by the presence of properties that allow the methods of statistical analysis of the data to reveal the levels of consciousness change in the individual being examined by comparing the obtained asymmetry profile with the reference profile obtained earlier in the laboratory, including certified characteristics reflecting a clear level of wakefulness of consciousness and revealed physiological patterns his disorders.

A device for determining the asymmetry profile of an object, identifying and assessing the state of consciousness based on the asymmetry profile of an object is a system that partially or fully automates the process of identifying an individual and / or determining a state of consciousness. The device can be implemented as a single unit, or consist of several independent systems. Such a device can be a personal computer or a computer network in which one computer measures and the other processes information, stores, makes decisions, etc. A device for implementing the methods includes a unit for influencing an object, including paired stimuli designed to excite organs and systems controlled by the left and right regulatory centers (cerebral hemispheres in human and animal) of the object, implemented by the motor-motor apparatus of the same object and general stimuli, designed to excite organs and systems controlled by the left and right centers for the implementation of response reactions (nervous system and cerebral hemispheres in humans and animals) of the object simultaneously associated with the block generation; a unit for measuring morphofunctional characteristics and behavioral parameters of the motor and / or sensory and / or mental spheres of the object, including paired sensors designed to measure the characteristics and parameters of the left and right spaces, regulated and controlled by the centers (hemisphere of the brain) of the object, and general sensors, designed to measuring characteristics and parameters of the left and right spaces (cerebral hemispheres) of an object simultaneously; a calculation unit configured to calculate a vector and identify an asymmetry profile associated with the measurement unit; a memory unit for storing the computed vectors - asymmetry profiles associated with the computation unit.

 The asymmetry profile of an object is an ordered set of asymmetry coefficients (indicating the parameters for which they were measured) calculated for this object. Asymmetry coefficients can be obtained for both static (morphological) and dynamic (motor, sensory, behavioral) characters.

 When comparing asymmetry profiles, only coefficients calculated for the same parameters are compared. Coefficients that do not have pairs do not participate in the comparison, as illustrated in Table 2, in which, when comparing 2 objects, 9 measured parameters are involved:

 TABLE 2

Parameters 1, 2, 3, 6, 8 can participate in the comparison, and 4, 5, 7, 9 - parameters that cannot be compared, because one of the profiles has no measurements by these parameters.

Profile comparisons can be done in many different ways. The main purpose of the comparison is to show how much the profiles are the same or different. Well-established Best Criteria Method (MNC), also known as Least square method. For each parameter, the square of the difference according to this parameter between the asymmetry profiles is calculated: k'— k-J, where k / is the asymmetry coefficient, for the / -th parameter, the -th profile, and then, the sum of the squares of the difference in all parameters is calculated: D = ^ (k'— k. J.

 For the above table, the coefficient of OLS will be equal to:

+ (0.2 + 0.4)² + (0.5— 0.3)² + (- 0.1— 0. l)² + (0.3— l)² = D = (-

+ (0.2 + 0.4) ² + (0.5—0.3) ² + (- 0.1—0.0. L) ² + (0.3—1) ² =

= O ² + 0.6 ² + 0.2 ² + (- 0.2) ² + (- 0.7) ² = 0 + 0.36 + 0.04 + 0.04 + 0.49 = 0.93

You can evaluate how close the profiles are to each other. With maximum similarity, the least-squares coefficient will be zero D _min = 0, and with the maximum difference, D _max = 4 · η, where n is the number of compared parameters. In this case, the maximum possible coefficient of OLS is D _max = 4 · 5 = 20, therefore, a coefficient of 0.93 indicates a sufficient similarity of the profiles. You can normalize the coefficients of least-squares, in order to be able to compare them with each other norm _D 20

The method of determining the coefficient of asymmetry

 The asymmetry coefficient is a numerically expressed indicator of the dominance (prevalence, dominance, etc.) of one compared parameter over another. Comparison can be made only with homogeneous indicators. The coefficient can take values from -1 to 1. At -1, one side dominates, at +1 the other side dominates, at 0 no side can be given an advantage. The estimation of the asymmetry coefficient depends on the scale in which the compared parameters are measured and can be carried out in various ways: expert - when one or more experts decide on the dominance of one side over the other; mathematical - on the basis of the formula k = ^ -, where k is the asymmetry coefficient, / is the assessment of the sign of one side, r is the assessment of the sign of the other side.

 For example:

The amplitudes of the EEG signals received from sensors located in symmetrical places on the left and right half of the head (measuring electrical potential of the left and right hemispheres of the brain) will be compared mathematically, since the results are measured on an absolute scale.

 So for 33 μΑ on the left and 22 μΑ on the right, we obtain the asymmetry coefficient

 (33-22) 11 1

equal: k = - = - = - = 0.2, which corresponds to the dominance of the left hemisphere.

 In the case of expert assessment, the decision on the degree of dominance, and, accordingly, on the magnitude of the asymmetry coefficient, is made by the expert. For example, an expert can evaluate how much, in a partially paralyzed patient, the motor functions of the left hand are superior to the motor functions of the right hand or vice versa.

 A device for implementing the methods comprises:

 1. Signal generation unit — implements an algorithm of pairwise action on an object in order to induce the commission of complex behavioral acts, coordinated in space and time.

 2. Paired local stimuli - have a pair-symmetric effect on the object, prompting them to perform complex behavioral actions consistent with the algorithm embedded in the signal generation block.

 3. General irritants - have a pair-symmetric synchronous effect on the object, they are used to excite organs and systems that cannot be divided into components controlled by the left and right hemispheres individually or in a friendly, natural way. For example, organs: eye, ear (visual, auditory and mental systems).

 4. General sensors - are used for synchronous (pair-symmetric) registration of pair signals and object parameters, or signals that cannot be divided into pair components in a natural way, for example, speech (its understanding and reproduction) is the highest joint manifestation of psychomotor and psychosensory activity and activity. 5. Information collection unit — amplifies the signals of sensors and converts them to a form convenient for further processing. For example, a signal is digitized, normalized, and filtered out from random interference.

6. Information analysis and processing unit - carries out a comparison signals read by sensors, with manifestations of the test task algorithm, through the signal generation block, and reactions to stimuli with the construction of a model of reflected brain functions, and its current individual asymmetry, which ultimately reflects the individualized consciousness of the object at a given time. During autonomous work (without experts), it makes a decision about the state of consciousness or identification based on a comparison of calculated profiles with the reference profiles stored in the database (library) - models of individual symmetry, images of changes (deviations) of consciousness.

 7. Subject’s consciousness model — an information image containing a set of measured paired parameters, read during testing, with an object, which is used to calculate and evaluate the state of consciousness.

 8. The base (library) for storing models - images of consciousness - an information store in which all investigated and / or known asymmetry profiles are placed for subsequent comparison with them of newly measured and detected by testing samples of model images. The base of sample models allows statistical analysis, comparison and classification of the parameters of these image models, finding similar patterns of manifestation of activity and recognizing state variants of behavioral reactions that reflect the individual’s consciousness, with their probabilistic assessment on the scale of changes, to identify the model image that corresponds to the current behavioral state of the subject and the adequacy of consciousness realized by him.

9. Archive of standards - a repository with the ability to search and retrieve reference profiles of an individual’s state of consciousness that partially or completely coincide with the presented sample obtained during testing. In addition, each returned standard is equipped with a coefficient reflecting its difference from the sample under consideration. In the block, it is possible to save the current sample as a reference. Assessment of the state of consciousness is based on direct and indirect measurements of an individual's reactions to an irritant that requires complex, conscious reactions. In this case, all possible reactions from zero to ideal are taken into account. The totality of all possible reactions is a virtual behavioral space that reflects the state of consciousness of the subject individual. In this space, the current state of consciousness corresponds to a certain profile (an ordered set of asymmetry coefficients, calculated for different parameters of the object), which is determined during the operation of the device. In the expert mode of operation, the obtained value is taken as a reference, that is, characterizing a certain known state of consciousness of the individual. For example, a clear state of consciousness with active behavioral wakefulness. In the diagnostic modes of the state of consciousness or identification of the person, the obtained values characterize the current state of consciousness and behavior of the individual.

 This technical device takes into account the spatial arrangement of vectors based on the parameters obtained during testing, which reflect the implementation of active behavioral reactions that are associated with the activity of the right or left brain of a particular individual. The number of components of the vector can vary from the minimum - three (taking into account activity in the motor, sensory and mental spheres), to infinity, when a larger number of values are taken into account, characterizing individual typological characteristics that can identify differences from the right and left halves of the head-body-body- limbs of the body of the tested individual.

 Since the implementation of motor, sensory and mental activity involves two hemispheres of the brain that are not equivalent in functional importance and the behavioral reaction is carried out by organs that are not equal in physiological and morphological significance (muscular, tendon, nervous, sensory, and other effectors that have no structure, have structural differences), then we should expect that this difference will be manifested. It is these differences that are detected by the device, allowing us to identify the characteristic activity of the individual in behavioral acts and reactions.

 The difference and advantage in the activity of the right half of the body, body, organ, points located on the right and the activity of the left hemisphere over the activity of the right hemisphere and vice versa, determine the value of the calculated indicator.

A method for identifying and evaluating the adequacy of consciousness. This is a system of measures that applies to an object that allows registration of paired indicators in oppositely asymmetric spaces (for example, half of the body), which are, as it were, universal effectors of friendly working, identification, regulating and controlling the state of the object centers (including the brain), within which is carried out: reading, testing, recording, recording and storage of any paired correctly comparable in type, type, size, time, volume, morphology, physiological functions, phenotype, electrical, physical, chemical, visual ln acoustic, behavioral, motor, sensory, mental characteristics, parameters recorded on two opposite sides (projections) of his body, or paired organs (systems) in both contact and non-contact ways. When analyzing the information, a parametric pair difference of the registered indicators is calculated, which is classified, recorded and stored in the database, being the “portrait - standard” of the test person, which has the form of a converted virtual code of the test (test) object that actually exists and interacts with the system (or device, using a system algorithm), at a given or specific time, compactly converting the differences of pair values into inequality profiles and asymmetry will show the lei identified during the reading-testing of the individual pair differences that create the VECTOR is a unique identification template that reflects the mosaic of the activity of the tested object, allowing it to be compactly stored, quickly retrieved, compared and refined during subsequent readings-tests, with the same templates when repeated using a system (device) to read-test, detected and re-calculated by the system (device) with this new read-test, identifying differences I and similarities, classifying and analyzing the results obtained in such a way that it allows us to identify with a high degree of certainty matches and differences between the results of the current read-test and the result of testing stored as a standard, which allows us to identify the personal characteristics of the object being tested or using the system.

To assess the adequacy of consciousness, primary reading — testing of the test object should be carried out under expert conditions, in which the fact of a clear state of consciousness and its active mental and physiological wakefulness, the test should be carried out, as a rule, 1 hour after the subject is awakened from physiological sleep, and reading - testing can be carried out by the subject as independently, then he acts as an expert (self-examination), or reading - testing can be carried out by an external expert (s), capable of identifying and ascertaining from the subject a clear state of consciousness and psyche, his active wakefulness (external examination), these tests should be l conducted at least three times and the results obtained with them should be entered into the database, after which the system identifies and registers the object, creating its virtual image-identification code, and calculates the identified individual template, enters this database, this particular template and it will be the “standard” of a clear state of consciousness in which mental processes were balanced and the state of the subject was evaluated as active wakefulness. Assessment of changes in the state of consciousness of the subject is possible with any subsequent reading-testing, if the system has expert presets and a template image of a virtual model of “reference consciousness” in its database, which, depending on complexity and tasks, can have this data in the average , individualized or personified in detail, which affects the accuracy of the system's assessment of changes in the state of consciousness and differentiation of its adequacy in the subject.

 The prerequisite for the experiment is the fact that the best way to identify manifestations of consciousness is a conscious, directed and controlled action of the individual. By creating conditions for testing that require the test subject to complete a program of certain behavioral actions in order to get a positive result, evaluated by the testing program, when he must attach his attention, skill, practice and experience to his actions in the motor, sensory and mental spheres related to perception, by analyzing and conducting adequate responses to emerging stimulation generated by the test task, one judges: by the results of the test implementation and the positive achieved in it level, in speed and accuracy of reactions of the object participating in the test, in the nature of its behavior, on the state of adequacy of its consciousness.

Hardware-software complex (diagram in Fig. 1), simulates an external a test task requiring the maximum manifestation of consciousness from the test, since it involves the response of its friendly balanced and unbalanced active actions in the motor, sensory areas of perception and implementation, to pass the test and achieve one of its positive levels.

 The test task is designed so that subjects can achieve a positive result if they used: both simple and elementary behavioral actions, and complex active forms of psychomotor and psychosensory reactions. Passing the test does not imply age restrictions if the previously stated conditions become clear and understandable to the test person. The test does not adversely affect the mental and physical health of the subject at the time of passing.

 The algorithm used in the system (device) for object identification implements the analysis of dynamically changing indicators read by the system and (or) pair data values read by it, while the asymmetry of the indicators is calculated in parallel and the direction of the temporal dynamics of the asymmetry of the recorded indicator pattern (vector) is established . The results of the current template (model-image) and the template (model-image) of the standard that are entered into the system by classifying and identifying inverse deviations of the individual asymmetry profile are compared, they are calculated in pairs in the current test and pairs of comparisons of the template-standard are used, which, in turn, allows you to get a quantitatively comparable result, which is used to assess the adequacy of the state at the current time. The data entered into the algorithm on the physiological regularity of changes and disorders in the state of consciousness of an individual arising as a result of external or internal causes that change the initial consciousness from a state of clear and active wakefulness to a state of deep physiological, medical or pathological sleep, anesthesia, coma, including intermediate eu and disconscious disorders, changes and dysfunctions, make it possible to identify the whole spectrum of altered states of consciousness of an individual and evaluate the adequacy of his consciousness.

The system algorithm provides the ability to assess the state of consciousness even during the initial reading-testing, implemented by the subject for the first time using the test system, in this case, the calculated in reading and testing a pattern of activity received from a test subject, not with an individually identified and expertly entered into the system result-standard of his consciousness, but with an averaged-calculated “template-standard of clear state of consciousness” of other subjects that the system is able to extract from its memory and base data, compare with the result calculated according to the tested template, which may affect the accuracy of assessing the adequacy of consciousness.

 The algorithm of the system allows testing online and conducting it with a time interval, which allows us to consider the solution suitable for long-term monitoring of consciousness and the psyche, predicting, preventing and preventing their disorders and changes in their conditions.

 The algorithm takes into account the features of the individual functional organization and asymmetry of the cerebral hemispheres, their reflected functions in the motor, sensory and mental spheres, as well as their combinations, allowing along with the identification of the test object and the assessment of the adequacy of its consciousness.

 To successfully pass the test, the test subject must adequately and timely respond to external stimuli created by the system. In this case, all actively active behaviors of the individual system are involved, realizing their activity in the motor, sensory and mental spheres.

 The device and system takes into account simple motor and sensory acts, complex psychomotor, psychosensory and mental reactions, as well as the general orientation in the behavior of the test person. The measurement of each parameter fixes the coordinate in the multidimensional space of the model for assessing the state of consciousness at the current moment in time. During the test (functioning), the assessment of each parameter fluctuates within certain limits of the previously set and fixed values.

 Examples of specific performance.

 To test the operability of the device and system, building a model of states of consciousness, an experimental study was conducted in which volunteers took part: 11 women and 12 men aged 19 to 50 years old, without acute and chronic diseases in the acute stage, in clear consciousness and in an active state . All subjects were informed about the purpose and objectives of the study and gave their consent to conduct it.

On the experimental day, no more than 3 people were tested. AT The study involved medical specialists: a psychiatrist-narcologist, a functional diagnostics doctor specializing in the registration and monitoring of brain bioelectric activity and EEG recording, a general practitioner, an anesthetist-resuscitator, and two independent experts in the field of information technology and computer modeling . A commission was formed from these specialists, which recorded the progress of the experiment and gave an opinion on the condition of the subjects or the system.

 Before conducting the main experiment, each test subject, after explaining the essence of the test and receiving instructions for its implementation, underwent a 3x one-time introductory testing, after which the main test was conducted with the results recorded. At the time of the main test, the bioelectrical activity of the brain was recorded in 20 standard brain leads located in accordance with the international system of their location 10-20. At the time of placing the electrodes, the correctness of their location was tested, for which the minimum resistance level was determined and a topological map of their location was compiled. EEG recording was carried out continuously throughout the test, starting in 0.5-1 minutes. up to and ending in 3-5 minutes. after the test.

 The EEG was recorded on hardware-based computer multifunctional complexes for recording and recording evoked potentials, electromyography and electroencephalography - NEURON 5, 5S and NEURON 4 / VPM with the NEURON-CnEKTP.NET software from NEUROSOFT (with all installed updates at the beginning of September 2011. ) EEG recording technical details: recording speed scale - 10 μν / mm, sweep - 30 mm / s, visible marking. Registration of the test subject's computer complex was 0.01 sec.

The initial postulate of the experiment was the assumption that human consciousness influences and largely controls behavior, in the case of complex psychomotor, psychosensory acts performed under the influence of conditions reproduced by the testing complex, consistent with the orientation of the subject to a positive test. The fulfillment of the conditions of the visual-acoustic task, implemented according to the scenario and the verified algorithm, is possible only subject to the coordination of the behavioral actions and reactions of the test subject, his conscious activity, realized behavioral reactions, consisting in the implementation of directed motor, sensory, mental acts, implemented by the brain and the script of the algorithm.

 The computer device is equipped with a display that visualizes the test scenario, and an acoustic system. During testing, the subject received both a video image and an acoustic signal through the headphones, matched with the video nearby. The sensor sensors connected to the device recorded the response of the test person, which was recorded in the program protocol.

 Visual objects and audio images were presented in isolation for the right and left visual and acoustic fields of perception of the subject, acting on visual and auditory stimuli, and using reflexes in the motor, sensory and mental spheres.

 The reflection of the subject’s active actions aimed at obtaining a positive result, the achievement of which is possible only by means of complex behavior and the implementation of coordinated psychosensory and psychomotor acts, was read from paired sensors capable of simultaneously recording their positional change or external effect on the recording part. A change in the state of the sensor was displayed and duplicated by a sound signal on the left or right channel, depending on the sensor involved by the subject. Thus, the test subject, in addition to tactile sensation, could observe visually or hear feedback and control his psychomotor activity with high accuracy and in rather difficult conditions of visual and acoustic psychosensory contact with the test task, controlling his mental actions and coordinating them with the test task, which ultimately As a result, the testees were able to achieve positive results, and the system recorded the motor, sensory, and psychological activity of the test subject at that time. Name.

The additional parallel participation of acoustic accompaniment made it possible to create a more complete psychosensory image - “Psychoacoustic environment”. The signals were generated depending on the involvement of the test objects of the environment, varying in duration and tone, which allowed them to be uniquely identified even without visual observation. The acoustic component was generated separately for the right and left acoustic half space, depending on the simulated environment and isolated in isolation to the right and left ear.

 A test subject, capable of distinguishing differences in the sound tone of signals, could identify them in isolation in his right and left sound psychosensory field and, after their identification, act on them by means of a motor act consisting in activating the sensor of the corresponding half of the active space. To achieve a positive result, simultaneous pressing of the sensor was required at the moment the tone in the right or left ear occurred, and an additional sound effect appeared — the sound of the sensor and the sound of “hit — interaction — sound meeting”, which manifests itself when the sound from the active sensor synchronously overlaps the sound of the active target object located in the sound space identified by the subject. The sound “interaction - sound meeting - hitting" takes out the active object of the test from the acoustic space - the sound target, carrying acoustic information about itself reflected in the space of the subject's brain, which changes its acoustic color and leads to the disappearance of sound from the corresponding right or left acoustic space.

Active objects used in the test script are able to dynamically change their location and positions so that they create the effect of a holistic visual and acoustic field in which the subject is invited to select and fix them. For this, the subject must realize his motor, sensory and mental capabilities in such a way as to manage to fix and identify this moving object-target in the field in which it is presented. According to the test conditions, the target objects detected by the sensor systems of the test object should have been deactivated by the subject, for which he should act on the active target object by selecting the position and translating the sensors into activity so that their active position and position correspond to the test task scenario and this in the test solution, in which the combination of the reflected image of the sensor and the object reflected in the test, the targets would be aligned so that they meet at some conditionally selected point located second in charge brought the test area and identified in the same space subjects. This point does not have a certainty of occurrence, but should be calculated by the subjects every time again, if such target objects arise in space. If the calculation the test was carried out correctly, then the target object and the image of the sensor coincide, the target image is deactivated by the active actions of the subject and it is removed from the test task, which is accompanied by visual and acoustic signals. This is one of the components of the overall test result, which further calculates the image that makes up the model of the state of consciousness and the characteristics of the personality and typological characteristics of the subject, which, in turn, allows him to be identified during repeated tests by the device.

 The device is capable of generating several types of target images and distributing them in the left and right spaces of the subject, changing the quantitative and temporal characteristics of target objects. All this together allows you to identify different activity in the motor, sensory and mental spheres of the test subject, his responses and ability to directed implementation of test tasks. The number of target images correctly and accurately identified by the subject, the number of erroneous psychomotor actions and mistakes made by him in psychosensory calculations or psycho-sensory attention and perception of target images, the speed and level of his reactions are taken into account by the device system and allow you to accurately identify and calculate the state of the subject’s activity and the adequacy of his consciousness at the time of testing. The total test duration, as a rule, does not exceed 2 minutes; in our study, the average time of one test was 112 s.

 The subject could control the arising activity and change of position of the sensors, information about them was available for psychosensory visual and acoustic control on the part of the subject, all the while the target image was in the accessible space determined by the test task, which allowed him to adapt his behavior and carry out its correction so as to avoid erroneous actions and calculations when self-registering their own active actions.

As a result of the test system constructed in this way, which has a control and reproducing audiovisual component and a recording part — sensors separated into right and left spaces in a single complex, creating an “illusion of presence and control of images”, the changes that occurred in the system were calculated, active actions of the test subject, created as a result of contact of the test subject with the test task algorithm and device program. These changes that occur in the device make it possible to obtain a unique image of the psychomotor and psychosensory contact of the test subject and the mind testing the psyche of the algorithm embedded in the system of the device, which makes it possible to identify a unique individually typological matrix of the state of consciousness and the subject’s brain, register and calculate it in real time individual coefficients characterizing its motor, sensory functions and mental activity, characteristic erroneous reactions and unconscious ref eksy.

 The device and system are capable of recording and storing the individual typological matrix identified in the test, the calculated coefficients, add these images in the form of digital images, convert them into personal standards and use them for subsequent identification of the person.

 The testing carried out is designed in such a way that during the test it is possible to change the speed characteristics, visual and acoustic accompaniment. The device’s algorithm is built and programmed in such a way that it does not allow a biological object undergoing a test test to execute it from beginning to end without committing errors or “replay” the device.

 Research results

 In the course of the study, the following data were obtained: all subjects successfully completed the test task. The device identified each subject, creating a digitized image of his personality, which was a set of calculated vector coefficients (asymmetry profile).

In this test test, 1 version of the testing program was used, which takes into account up to 2500 pairs of countable characters, according to which the sequence of coefficients was calculated, and the program is able to analyze up to 28 sequences of coefficients for one subject. After that, the calculated sequences of coefficients were entered into the database in the form of personal standards of the subject. All test subjects had synchronized recording of EEG (electroencephalography) during testing, which reflected increasing tension bioelectrical activity of the brain with complications of the game task and making mistakes to the subjects. EEG curves taken from test E., 40 years old in 19 leads, show that at rest with open eyes there is desynchronization of the EEG curves, and at the time of their closure, a burst of EEG activity and a subsequent growing spindle-shaped change in alpha rhythm in the frontal, temporal and occipital leads .

 Recording of the EEG of the subjects during their passage of the test task revealed a different picture of the bioelectric activity curves of the brain. At rest, the EEG curves of all subjects had no significant visible differences and yielded only to a mathematical analysis of the differences. The digital expressions of the EEG curves and the quantitative values of the spectral characteristics had distinct tendencies for an increase in the bioelectrical and spectral activity of the brain, proportionally increasing with the complexity of the test, which were clearly traced on the EEG records. The recording curves of the bioelectric activity of the brain, upon successful completion of the test levels 1 and 2 by subjects, contain desynchronized EEG curves in almost all leads, with a predominant bioelectric activity in the range up to 21 + 3 uU sek. An exception was the change in the nature of the EEG curve recorded in the first front-lateral lead on the left. There was a greater voltage and a more pronounced activity of bioelectric processes, which is connected with us solving the problems of psychosimantic analysis of the test taking place in the frontal parts of the cerebral hemispheres. The complication of the test task did not significantly change the nature of the EEG curves for all leads, but the variability of the EEG curves in the frontal leads had a steady tendency to generalize bioelectric activity, and there was also a greater voltage curve. Hyperactive breakdowns of bioelectric activity and "convulsive" EEG curves upon successful completion of the test were not found in any patient. We interpreted this as carrying out a successful analysis of the proposed test task, adequate perception of the surrounding reality, clear consciousness and active productive wakefulness. The results obtained during testing and analyzed by the device and system at the same time instant were completely consistent with the data of external control and EEG records.

The increase in the intensity of the test task, the complication of the conditions for its correct execution, when the number of necessary actions and efforts for it fulfillment was beyond the functional capabilities of the subject’s brain functions, and led to the disruption of immediate physiological adaptive capabilities when performing the test, impaired attention, motor automatism, and as a result, changes in EEG curves. The recording of the EEG curves of the brain activity of the same test subject, when the device created the conditions for “losing” the test task, clearly showed the generalization of bioelectric activity and an increase in the voltage of the curves by 2–2.5 times compared to the initial indicators, to 53 + 3 uU sek, which especially clearly observed in the frontal, temporal and parietal leads. It should be noted that recording of this type of EEG curves at rest, without the test conditions, would be regarded by the system as the “epileptiform” nature of the brain EEG curves. In our case, we did not observe any side and even more alternating effects on the test subject from the side of the device and the system, but only stated a negative result when the test passed the test and the device “won”.

 The execution of the test task, as described above, provided for the test participants to make mistakes. And when performing the test, all subjects performed them. The analysis of errors showed that the mistakes made by the subjects were fully consistent with the features of their morphological and functional organization, bearing the features of functional and brain asymmetry. In other words, all subjects had “their” handwriting (individualized profile) when they passed the test task. This circumstance was also evaluated by the device and system that carried out the identification of personal standards of the subjects.

The analysis of personal standards did not establish their similarity between each other (p = 0.05), and the personal standard of each subject was successfully confirmed by the device and system during subsequent tests. The device successfully classified the digitized image of the “behavior” of the test person obtained in testing, linking it with one of the test benchmark databases available in the system with a reliability of more than 70% of cases. Unsuccessful cases of classification of newly calculated personal standards by the system were analyzed by us and were associated with a violation of the conditions for subsequent testing and a change in the psychoemotional background of the subject. Two subjects underwent testing in the evening, after a busy day and training, and one subject underwent testing after 24 hours of duty. We believe that in these cases, the system was unable to correctly classify the standard calculated by it and, as a result, to identify a person due to the fact that the subjects actually had a different physiological state and, therefore, a different state of consciousness that was different from the state of clear wakefulness in which their initial expert testing.

 To confirm or refute this postulate, we selected several volunteers who agreed to be tested on the device after taking a sedative dose of alcohol (150 ml of ethyl alcohol).

 We present a series of EEG records of the bioelectrical activity of the brain of test subject K, 25 years old. A background EEG was recorded before the test and before taking alcohol. The patient’s state of rest was evaluated by the medical commission, the subject had no complaints, and informed consent was obtained from the patient to participate in testing and drinking alcohol. Consciousness is assessed as clear, behavior is recognized as adequate, motivated, controlled. The patient was in active wakefulness with normal indicators of vital functions. Alcohol was taken simultaneously in an amount of 150 ml (Whiskey 40%) with a minimum amount of food, on the "empty" (2 hours after the last meal) stomach. The subject received the necessary instruction and conducted a series of preliminary tests on the device, before taking alcohol. He was also warned that after drinking alcohol in the first 30 minutes, he would have to pass a series of blood tests for the blood alcohol content, to which the subject also gave his written informed consent.

 Testing was carried out in the presence of a medical commission, which carried out medical control and observation of the subject during the entire testing period and then until the negative effect of ethyl alcohol on the consciousness and body of the subject ceased.

On the EEG, taken after alcohol intake, desynchronized curves of the bioelectrical activity of the brain were clearly visible on the "low" figures of the electrical activity of the brain up to 12 + 1.5 uU sek in the dominant number of leads. The individual asymmetry vector calculated at this moment (individual personifying standard) could be associated with the average values of the coefficients in the series characterizing the stable dominance of the left hemisphere in the cerebral mosaic of brain processes. Alcohol intake changed the picture of the curves of the EEG recordings and affected the nature and success of the test task. The device could not identify the test subject as the effect of alcohol increased, as one and the same person, because the standards were different from the "originally created" personifying image. The personal attributes and errors newly calculated by the system did not have “common” features with the initially created digital image of the subject. We noted a tendency of changes in the individual asymmetry vectors calculated at that moment, which were individual personifying standards at that moment in time. Changes could be associated with the average values of the coefficients in the series characterizing the change in the dominant relations of the two hemispheres and the decrease in the activity of the left hemisphere in the cerebral mosaic of brain processes. We obtained the same data after analyzing the EEG curves of the brain of subject K. On the recording section of his EEG, a brief generalized breakdown of the bioelectric activity of the brain and a sharp increase in the potentials of electrical activity in the projection of leads T6 and F4, which are located on the right half of the scalp of the subject, were visible. Calculations of the values confirmed an increase in the bioelectric activity of the brain in its right half. The patient’s consciousness at this point in time was evaluated by a commission that identified the initial signs of intoxication. Consciousness is regarded as clear, the behavior is recognized as adequate and controlled by the subject himself. The patient is oriented in the environment, time and reports to his actions and actions. Blood sampling and its subsequent analysis revealed physiological values of the presence of alcohol in the patient’s blood at this point in time (up to 0.5% o). 15-19 minutes after the intake of alcohol, the state of consciousness and behavior of the patient changed. There were signs of alcoholic "foolishness" in the actions and actions of the subject, despite the "complete" self-control and a sincere desire to participate in the experiment. The test subject during the test task began to make more erroneous actions, more often to “lose” the system at “familiar” levels. The nature of the EEG curves has also changed, which illustrated the electrical brain hyperactivity prevailing in the right half of the brain, not previously observed when passing the test at level 2. In the example illustrated in FIG. 9, individual asymmetry vectors calculated by the system retained trends in changes in individual personifying standards calculated at that moment. They also had the character of associations with the average values of the coefficients in the series characterizing a change in the dominant relations of the two hemispheres and a decrease in the activity of the left hemisphere with a moderate prevalence of the right hemisphere according to some comparable indicators of brain activity. The alcohol level in the blood of the test was 0.75% about. The maximum level of alcohol in the blood of the test subject was determined by us at 34 minutes after taking it (1.25% o). . At this point in time, the commission regarded the patient’s state of consciousness as altered by ethyl alcohol to a state of mild intoxication. Marked slight discoordination of speech, movements, facial expressions. The subject is oriented in the environment, although psychomotor reactions and actions are discoordinated, but they are completely controlled and controlled. The attention is somewhat scattered. After assessing the physiological state and the state of vital functions and systems (moderate hemodynamic disorders of the hyperdynamic type were noted), the patient was offered a test task.

 The test task of level 2 on the device, the subjects passed after 3 attempts, after which testing was discontinued. The result of calculations by the device and system of an individual asymmetry vector according to the proposed method revealed distinct signs of a change in the patient’s state of consciousness, since changes in individual personifying standards calculated at that moment were noted. The revealed boundaries of changes in associations of the average values of the coefficients in the series exceeded the values recommended by the method and when assessing the state of consciousness, a difference of more than 2/3 of the components of the vectors was revealed, which amounted to more than 0.17 between the calculated values before and after alcohol intake. In this case, the system and device were set up in such a way that the subject’s personality did not need identification and this circumstance was ignored by the device.

When describing the principles and calculation methods carried out by the device and system, we intentionally omitted the description of the process of statistical comparison and study of primary data, because we believe that routine methods of statistical analysis of digitized databases of primary data are carried out by machine using the traditional set of biomedical statistical programs , allows us to use only the most illustrative indicators of them. Example 1. Identification of an artificial object by morphological characteristics.

Task analysis:

 Digit 1 is required to be identified from a series of digits from 0 to 4, in total of 5 digits.

1. The choice of registration methods

 We choose a visual technique for identifying the morphology of an object.

 2. Definition of an object, its models and standards

 The morphological characteristics and signs of 1 (unit) are determined by the visual image, writing the numbers of the zip code. Then the zip code numbers will become comparable and homogeneous. Numbers are objects of identification. Reference models will be the faces of numbers from 0 to 4, presented in the form of symmetric-asymmetric models.

 The standard of the figure is 0, the tracing of this figure in a symmetrically asymmetric space.

The standard of the figure is 1, the outline of this figure in a symmetrically asymmetric space.

 The standard of the figure is 2, the outline of this figure in a symmetrically asymmetric space.

 The standard of the figure is 3, the mark of this figure in a symmetric asymmetric space.

 The standard of the figure is 4, the mark of this figure in a symmetrically asymmetric space.

 3. Introduction of the object to the coordinate system and calculations

 Let us introduce the faces of the numbers in the symmetry coordinate system. The numbers of the zip code are applied according to special markings and are geometric figures (Fig. 2). By calculating the asymmetry model for the numbers, you can identify them based on this model. First of all, the image of the object (the image of the figure) must be represented as pairs of conjugate points - special elements of the image in which the variance is most manifested. Each such pair serves to calculate the asymmetry coefficient, which is a component of the asymmetry vector (Fig. 3).

Election pairs and calculus vector

The midline runs vertically through the center of the markup and breaks the number into a number of segments. In total, nine characteristic segments can be distinguished (A, B, C, D, E, F, G, H, I) left and right of the midline. The left and right segments mirrored relative to the midline form pairs, and all segments together, written in an orderly manner, make up a nine-component asymmetry vector (Fig. 5). In accordance with this pairing, for each digit of the zip code, you can calculate the value of the components of the asymmetry vector. The calculation of the asymmetry coefficient of a pair for each component of the asymmetry vector is carried out as follows: If the component of a digit (object) is present or absent in the left and conjugated right segments (forming a pair), then the asymmetry coefficient is zero. If a digit component is present in the left segment and a digit (object) component is absent in the right conjugated to the left, then the asymmetry coefficient is +1, otherwise, when there is no digit (object) component in the left segment, but is present in the right , the asymmetry coefficient is -1. Let us calculate the asymmetry vector for the image of the object (the numbers 1 are units): The image of the object (unit) entered in the coordinate system for mailing, divided into pairs (in segments) is shown in FIG. 6. Segment A_1 and the conjugate segment A_g comprise a pair whose asymmetry coefficient corresponds to component A of the asymmetry vector and do not contain a digit component, therefore, the asymmetry coefficient k_A is zero. Segment B_1 does not contain a digit component, and the segment B_g associated with it contains, therefore, the asymmetry coefficient for segment B is -1. Similarly, the remaining coefficients are calculated. Thus, for the image of the unit, the asymmetry vector will be represented by the following set of values: A = 0, B = -l, C = 0, D = -l, E = 0, F = -l, G = + l, LV), 1 = 0; and, if we write the values of the coefficients in the form of an ordered set (vector), whose components will be equal to the asymmetry coefficients and will follow in a strictly defined order, we obtain the following expression

 MA (1) = O, -1, 0, -1, 0, -1, +1, 0, 0>,

where MA (1) is the designation of the asymmetry vector for the image of the unit, or the standard of the asymmetry vector for the image of the unit. Accordingly, asymmetry vectors for images: two - MA (2), three - MA (3), etc. presented in the table below. TABLE 3

The values of the asymmetry vectors for the images of the first five digits, when they are drawn

5. Identification

Knowing the values of the asymmetry vectors for the image of each digit, it is possible to identify, by finding the closest (similar, similar) vector from the known (reference) ones, with the asymmetry vector again calculated for some image of the digit. In this case, when the values of the coefficients can take a strictly fixed set of values (-1, 0, +1), full coincidence of all components of the asymmetry vectors is required. In the general case, when the set of coefficient values is not limited, it is enough to find a vector whose component-wise difference with the one under consideration will be the smallest in the quadratic sense. To eat:

D2 (l, 2) = (A_l - A_2) ^A 2 + (B_l - B_2) ^L 2 + (C_l - C_2) ^A 2 + (D_l - D_2) ^A 2 + (E_l - E_2) ^L 2 + (F_l - F_2) ^A 2 + (G_l - G_2) ^A 2 + (H_l - H_2) ^A 2 + (I_l - I_2) ^A 2,

where D2 (l, 2) is the quadratic metric, the coefficient is proportional to the square of the distance between the considered asymmetry vectors of the images of object 1 and object 2. The lower the value of this metric, the more similar the images of the objects and the objects themselves. If all the asymmetry coefficients that are components of the asymmetry vector coincide, the value of the quadratic metric will be zero. Accordingly, it can be concluded that both the information images and the objects themselves are equal (the conclusion is drawn for the case when it is proved that each unique object generates a unique information image by this method).

Output; The object is identified.

In accordance with the above example, we can calculate the asymmetry vector for the morphology of almost any object that can be introduced into the coordinate system of measurements by the method. To do this, the object must be represented in the form of elements (an ordered pair), assuming that each element that has its conjugate analogue in another subspace is a singular point of this pair. If we consider the totality of such singular points, then we can establish their asymmetry using the formula: k_i = h_i (l_i - r_i) / (l_i + r_i). Where r_i and l_i are the measurement results of the right and left singular points, respectively, h_i is the normalization coefficient, which for simplicity can be considered equal to 1, and k_i is the asymmetry coefficient. Moreover, the measurement refers to a fairly wide class of actions from classification in the nominal scale to the establishment of exact numerical values in the absolute scale. When viewed more broadly, the formula describes an assessment of the comparison of individual elements to their total contribution. The method uses the principle of asymmetry, applying it as some universal metric capable of changing from (-1) to (+1), and characterizing complete equality at 0 and complete dominance of one of the compared values at -1 or +1, where the sign indicates exactly which value dominates. The metric used in the method can be calculated on the basis of various measurements, such as the distance to the middle plane, occupied area (volume), color, shape features, electrical conductivity, chemical composition, etc., where the universal principle of symmetry and asymmetry can act and comparing homogeneous elements in pairs. In all these cases, when calculating by the method, the result will be the recording of asymmetry coefficients, characterizing the comparison of two measured conjugate quantities (pairs) pairwise symmetric with respect to the median plane. The sets of coefficients made up of conjugated pairs and written in a certain order will be - vectors. Given the property that two identical objects do not occur in nature, each object under study has morphological uniqueness, which can be reflected through the proposed method. By calculating the asymmetry coefficients for the most characteristic points of the object and ordering them in the form of a set of values - a vector, you can create a unique numerical (informational) image, which is a vector of asymmetry coefficients (hereinafter the model of asymmetry of the object).

 In living objects, morphological characters can change over time, but changes will occur slightly for the identification period and most importantly occurs symmetrically with respect to the midline. Thus, the asymmetry coefficient for conjugate points is slightly susceptible to changes in morphological characters in living objects. Having an asymmetry model for a previously known object, and calculating the image asymmetry model, you can evaluate the degree of similarity of the images of the two models, and on this basis, evaluate the similarity of objects and identify the object by its image, modeled by the method. If two objects have a pronounced similarity between themselves (asymmetry models are almost identical), then with a high degree of probability it can be assumed that both models characterize the same object. Such an estimate will be more accurate, the greater the number of pairs of characteristic points (and accordingly the asymmetry coefficients) will be taken into account in each vector, in each model in each component of the vector. After conducting additional statistical studies on the variation of characteristic points for objects of a certain type, it will be possible to establish the minimum necessary and sufficient list of them to identify the object with a given degree of reliability.

Example 2. Morphological identification of a person according to computed tomography of the head of patient O., 43 years old.

Task analysis: It is required to identify Patient O., 43 years old, according to CT of the brain (CT of Patient O., 43 years old is attached) among other patients (781 people) who underwent CT of the brain on a CT scanner during 5 years of its operation.

 1. The choice of registration methods

 In the example, morphological identification will be performed according to the type of information in which the image of the identification object is presented - CT head data.

 2. Definition of an object, its models and standards

Object - patient O, image, image of CT slice at the level of Processus occipitalis Patient O., 43 years old (Fig. 7).

 3. Introduction of the object to the coordinate system and calculations

 In this case, the measurement is presented in the form of a snapshot, and the asymmetry model is built on the basis of graphic data (there are digital values of the image). Before directly calculating the asymmetry model, it is necessary to perform a number of additional transformations that do not distort the image. Such transformations include: rotation, shift, and scaling. Select the object in question and rotate it so that the projection of the mid-plane — the mid-line is strictly vertical. This is done solely for the convenience of visual presentation. In the case of machine processing (digital conversion), such transformations are not necessary. We divide the image of the CT slice of the image into symmetrical sectors, drawing a median line through the median structure of the slice (Fig. 8), and impose a "coordinate" grid, which is shown in Fig. 9.

 4. Election of pairs and vector calculus

In the image with the middle line, the asymmetry relative to the middle line is clearly visible. In order to create an asymmetry model, we divide the right and left half-planes into identical regions, each of which will have a conjugate pair that is mirrored with respect to the midline. Each region of the image will correspond to conjugate regions in another half-plane (relative to the midline), and, accordingly, the asymmetry coefficient can be calculated for a pair of regions. An ordered set of asymmetry coefficients will be the VECTOR of the object consisting of these coefficients, calculated in pairs, and will be a reference asymmetry model of the image of the object. In this case, a 230 component vector is used. The calculation of the asymmetry coefficient in this case can be done in various ways. You can find the total brightness of each surface and based on it to calculate the asymmetry coefficient relative to the total brightness of the conjugate region. For greater clarity, you can normalize the brightness of the image by subtracting the total brightness component from the image (Fig. 10). In this case, only asymmetric regions remained for the image (Fig. 11), for which the brightness in the left and half of the half-plane (relative to the midline) are different. In this case, the asymmetry model will be represented by a 230-component vector in which each component corresponds to a pair of conjugate regions to the left and to the right of the midline. The smaller the areas, the more they will be in the picture and the more accurately it will be possible to identify similar pictures (pictures of the same object). However, to increase the efficiency of the method, it is necessary to collect statistical information about a similar type of measurement, in order to reduce the number of regions under consideration without changing the quality of identification, by removing from the analysis regions with a small dispersion of asymmetry coefficients.

 5. Identification

According to the reference model, 230 component vector of Patent O, 43 years old, was measured. The value is entered into the database for machine processing. CT sections of patients undergoing tomography of the head according to various indications over the past 5 years were selected at the level of Processus occipitalis, the same as that of Patient O., 43 years old. It was possible to select a 761 section of a CT scan of the head that participated in the identification. For them, 230 component vectors of images of CT slices were also calculated, which were also entered into the database. The values of all vectors are not given due to the cumbersomeness of their graphical representation. The principle of calculation is shown in Example 1. Statistical processing was performed and 2 vectors were selected that had minimal difference. One vector belonged to Patient O., 43 years old., The other vector belonged to Patient O., 42 years old. After talking with Patient O, 43 years old, it was found out that he underwent this study on this unit 1 year ago. Images of CT images of slices of the head and vectors calculated from them belong to the same person - Patient O.

Conclusion: Identification was successful, the object was identified. Example 3. Identification of an object (person) by the functional characteristics of the data obtained during registration on the device.

Task analysis:

 Three subjects are required to play 5 games in any order on the device for 12 hours. It is required to carry out identification of persons - players of a computer game, by the characteristic functional signs of the organization of their psychomotor and psychosensory reactions. Data must be obtained using the device described in the method, identifying each player, determining the sequence and number of games played by each of the participants - players. Duration of identification no more than 2 minutes, duration of one game no more than 3 minutes, duration of the entire test no more than 12 hours. The number of tested players will be limited to 3 participants, the order and sequence of games between the players is not established, the number of games is not more than 5 for all participants. The test is monitored by an expert who monitors and records the test, recording the data on games and players in the test report, regardless of the hardware control methods and functional identification of the device.

 1. The choice of registration methods

We select a complex technique for identifying an object according to the functional characteristics of the data obtained during registration on the device. The registration method on the device will include registration of indicators of motor and psychomotor activity of the object, the method of registration of indicators of sensory and psychosensory activity of the object, which are initially incorporated into the game and device program.

 2. Definition of an object, its models and standards

 The functional characteristics and signs of each object (test player) are determined by the data obtained from the device database. The device is able to simulate the image of each object, creating the necessary reference functional models of the subjects for subsequent identification.

 3. Introduction of the object to the coordinate system and calculations

In this example, because the measurement will be carried out on the same device presented in the method, a special introduction of the object (subject or subjects) into the coordinate system and calculations is not required. The device automatically enters the object into the desired coordinate system and calculations when its game component is launched. The object only needs to follow the game settings of the device.

 4. Election of pairs and vector calculus

The choice of pairs will be made according to the registered asymmetry of functions in the motor, sensory and mental spheres, manifested by the test subjects (test objects) on the device described in the method, when they implement the test task, proposed as a game option. The device and its built-in program allows registering paired asymmetric and symmetric combinations of actions, reactions in the sensory and motor spheres and behavioral characteristics in the psychomotor and psychosensory spheres, as well as their possible combinations in subjects during the test task. The device is capable of generating paired symmetric and asymmetric signals in the right and left symmetric subspaces and record the test subject's response to them. In order to create an individual model of the functional asymmetry of the subject, the device allows you to divide the functional sphere into the right and left half-planes (identical functional areas). Pairs for calculating the vector according to functional features in the sensory sphere have a conjugate pair, mirror in relation to the midline, located in the visual and auditory fields and spaces. The registration of pairs is constructed in such a way that video pairs and audio pairs are separately taken into account. For each of these pairs, the device calculates the asymmetry coefficient. An ordered set of identified asymmetry coefficients in visual and audio spaces is a functional VECTOR of an object in the sensory sphere. The vector of an object consisting of these coefficients, calculated in pairs, will be a reference model of the asymmetry of the functional sensory image of the device, which will be perceived and analyzed by the object. In this case, 3000 component vector is used to assess the functional state of the sensory sphere. The calculation of asymmetry coefficients for assessing functions in the motor sphere is carried out by the device according to the speed of responses to the sensor image generated by the device, perceived by the object through video and audio signals. In this case, the registered pairs of response, motor-motor reactions of the object form a measured vector in the right and left motor spaces. When solving an object of a test task, the time, speed and frequency of motor-motor reactions are calculated. The device calculates the asymmetry coefficient of the object, consisting of homogeneous pairs, and constructs a 3000 component vector for each test task. As an important particular circumstance, we note the fact that it is practically impossible to distinguish the sensory and motor spheres from the subject’s integral behavioral act, therefore, the device is capable of recording more complex behavioral reactions of the subject, which are the result of the object’s motor-sensory functions, and are recorded by the device as realized functions of integral psychosensory and psychomotor reactions of the test object. In fact, the device registers the functional asymmetry of behavioral functions. Separating them according to the prevailing sensory or motor type, including the revealed asymmetry of the pair coefficients in the VECTOR of the object, you can create a picture of the functional behavior of the object, formed by it on the presented conditionally “symmetric” functional model generated by the device. Thus, superimposing on the “conditionally symmetric” functional model of stimuli generated by the device, motor-sensory responses of the test object allows revealing its unique individual-characterological and behavioral reactions. Recording this behavior and

In this case, the functional image of the object will be calculated by compiling a multicomponent vector that combines the order and sequence of the revealed asymmetry of the functions of the object when tested on a device in the motor, psychomotor, sensory and psychosensory spheres.

 5. Identification

After testing on the device according to the assignment, the expert commission drew up a protocol in which the sequence of its execution by the players was reflected and registered the state of consciousness of the players. The device also distributed and classified players. Reference specialists were extracted from the device database by another specialist and the classification procedure (selectively) is presented in the example. The values of all vectors are also not completely given due to the cumbersomeness of their graphical representation as in Example 2. The principles of calculation are the same as those shown in Example 1. Statistical processing was performed and five uniform pairs of the vector were selected. These pairs reflected the functional components of motor-motor functions of the tested object and were measured to assess the motor activity of the right and left hand (measured the speed of keystrokes) by which the vector component (spectral) was calculated. The motor-motor spectral component of the object vector consisted of the main and 32 additional frequencies, and a frequency histogram. The value of each frequency of the spectrum and each element of the histogram was considered as a parameter for which the vector and the value of the asymmetry coefficient can be calculated. In our case, in a series of tests, the following spectral values were obtained (only the first 5 frequencies of the spectrum are given), as well as the vectors calculated and classified by the device based on these values, which are presented in Table 4

 TABLE 4

Measured by the device, vector models (vectors) in functional (psychomotor) testing and testing

В табл.4 (колонка N°l) векторы поставлены в порядке проведения тестового испытания. Тесту 1 соответствует вектор 1 и так далее. Вектор типа 1 выявлен при первом тестировании; векторы типа 2 , выявлены при втором и третьем тестировании; векторы типа 3 при четвертом и пятом тестировании.

In table 4 (column N ° l) the vectors are placed in the order of the test test. Test 1 corresponds to vector 1 and so on. Type 1 vector was detected during the first test; type 2 vectors identified in the second and third testing; type 3 vectors in the fourth and fifth testing.

Thus, the device identified and classified three types of vectors as a result of a five-fold test test. Since the vector is of type 1, vectors of type 2 and vectors of type 3 have differences, it is logical to assume that they belong to different objects. Type 2 vectors have minimal differences among themselves; therefore, they most likely belong to the same object, just like type 3 vectors. An identification device carried out with the calculation of the vector of the functional sphere of objects using motor-motor reactions allows us to make an identifying conclusion and give an answer to the question of the task: Test task N ° l was performed by one test object, which is identified by Type 1 Vector. The test task Ν ° 2 and Ns3 was performed by the second test object, which is identified by a Type 2 Vector.

 Test task N ° 4 and N ° 5 was performed by the third test participant (test object), which is identified by Type 3 Vector.

The protocol of the expert commission and the identification carried out by the device coincided.

Conclusion: Identification was successful, the object was identified.

Example 4. Identification of an object (human consciousness) according to the functional characteristics of the data obtained during registration on the device.

Task analysis:

 Three subjects are required to play 8 games in any order on the device for 48 hours.

 It is required to carry out identification of the consciousness of persons - players of a computer game, by the characteristic functional signs of the organization of their psychomotor and psychosensory reactions. Data must be obtained using the device described in the method, identifying the consciousness of each player, determining the sequence and number of games played by each of the participants - players. Duration of identification no more than 2 minutes, duration of one game no more than 3 minutes, duration of the entire test no more than 48 hours. The number of tested players will be limited to 3 participants, the order and sequence of games between the players is not established, the number of games is not more than 8 for all participants.

The test is monitored by an expert commission that determines the state of consciousness of the subjects, monitors and records the test, entering data on the games and the state of consciousness of the players in the test report, regardless of the hardware methods of control and functional identification of the object (state of consciousness) by the device. To change consciousness, the test subject (s) will be given 40% alcohol (vodka 150ml). Informed consent to alcohol intake and participation in testing by an expert commission was previously obtained from all three subjects.

 1. The choice of registration methods

We select a complex method for identifying an object according to the functional characteristics of the data obtained during registration on the device (as in Example N ° 3). The registration method on the device will include registration of indicators of motor and psychomotor activity of the object, the method of recording indicators sensory and psychosensory activity of the object, which are originally laid down in the game program and device.

 2. Definition of an object, its models and standards

As in example N ° 3.

 3. Introduction of the object to the coordinate system and calculations

As in example N ° 3.

 4. Election of pairs and vector calculus

As in example N ° 3.

 5. Identification

Prior to each test, each test person had a state of consciousness. The data are recorded in the protocol. After testing on the device according to the assignment, the expert commission drew up a protocol in which it reflected the sequence of its execution by the players, and registered the state of consciousness of the players in which the test assignment was carried out. The device also distributed and classified players by vectors as in example N ° 3. Reference specialists were extracted from the device database by another specialist and the classification procedure (selectively) is presented in the example. The values of all vectors are not completely given as in Example N ° 3 due to the cumbersomeness of their graphical representation. The calculation principles are kept the same as specified in examples 1-3. Statistical processing was carried out and five homogeneous pairs of the vector were selected. These pairs reflected (as in Example N ° 3) the functional components of the motor-motor functions of the tested object and were measured to evaluate the motor activity of the right and left hands (measured by the speed of keystrokes), which was used to calculate the vector component (spectral). The motor-motor spectral component of the object vector consisted of the main and 32 additional frequencies, and a frequency histogram. The value of each frequency of the spectrum and each element of the histogram was considered as a parameter for which the vector and the value of the asymmetry coefficient can be calculated.

In this example, in a series of tests, the following spectral values were obtained (only the first 5 frequencies of the spectrum are given), as well as the vectors calculated and classified by the device according to these values of the vectors, which are presented in Table 5. TABLE 5

 Measured by the device vector models (vectors) in the national psychomotor test

В табл.5 (колонка N°l) векторы поставлены в порядке проведения тестового испытания. Тесту 1 соответствует вектор 1 и так далее. Вектор типа 1 выявлен при первом и седьмом тестированиях; векторы типа 2 , выявлены при втором и третьем тестировании; векторы типа 3 при четвертом, пятом и шестом тестированиях. В восьмом тестовом задании выявлен вектор типа 4. Таким образом, устройство выявило и классифицировало четыре типа векторов в результате восьмикратного тестового испытания. Так как вектор типа 1, векторы типа 2 и векторы типа 3 и типа 4 имеют отличия между собой. Логично предположить также как и в задании (пример Ν°3), что они принадлежат разным объектам. Но в испытании участвовало трое испытуемых (объектов). Векторы типа 2 имеют минимальные отличия между собой, поэтому они с высокой вероятностью принадлежат одному и тому же объекту и ОБЪЕКТ находится в исходном (не измененном) состоянии сознания, так же как в случаях векторов типа 3 и типа 1. Таким образом можно сказать, что Тесты 1 и 7 выполнял один и тот же объект и этот объект находился в одном и том же состоянии сознания. Тесты 2 и 3 также выполнены одним и тем же объектом в одном и том же состоянии сознания. Тесты 4 , 5 и 6 также выполнял один и тот же объект и его состояние сознания не отличалось от исходного. Выявлен тип вектора Ν°4, который отличается от других выявленных в ходе тестирования типов. Он может быть классифицирован как новый объект, обладающий другими функциональными признаками, регистрируемые устройством в функциональной моторно-двигательной сфере. Так как устройством предварительно была проведена Идентификация всех тестируемых (объектов) по морфологическим признакам в дополнении к функциональным, то устройство отнесло тип вектора 4 - второму испытуемому. Так как вектор типа 4 отличается от типа вектора 2, и эти отличия касаются функционально различных типов моторно-двигательных реакций ОДНОГО и ТОГО же объекта, то можно сделать следующее заключение. Объект (тестируемый), который выполнял тестовое задание N°8 находился в отличном от исходного состоянии сознания в котором он проводил тесты N°2 и N°3. Данное заключение возможно формировать только в случае наличия возможности ИДЕНТИФИКАЦИИ объекта иным (^"отличным от функционального) способом. В противном случае Устройство не способно выявлять иные (отличные от исходного) состояния сознания. Так как устройство выявляет и измеряет новый функциональный вектор, который может трактоваться как принадлежащий иному объекту тестирования. Проведенная устройством идентификации с расчетом вектора функциональной сферы объектов по моторно-двигательным реакциям позволяет сделать ИДЕНТИФИЦИРУЮЩЕЕ заключение и дать ответ на вопрос задания:

In table 5 (column N ° l) the vectors are placed in the order of the test test. Test 1 corresponds to vector 1 and so on. Type 1 vector was detected during the first and seventh tests; type 2 vectors identified in the second and third testing; type 3 vectors in the fourth, fifth and sixth tests. In the eighth test task, a type 4 vector is detected. Thus, the device identified and classified four types of vectors as a result of an eight-fold test test. Since the vector is type 1, vectors of type 2 and vectors of type 3 and type 4 have differences. It is logical to assume as in the task (example Ν ° 3) that they belong to different objects. But three subjects (objects) participated in the test. Type 2 vectors have minimal differences among themselves, therefore they most likely belong to the same object and the OBJECT is in the initial (unchanged) state of consciousness, as in the case of type 3 and type 1 vectors. Thus, we can say that Tests 1 and 7 were performed by the same object and this object was in the same state of consciousness. Tests 2 and 3 are also performed by the same object in the same state of consciousness. Tests 4, 5, and 6 also performed the same object and its state of consciousness did not differ from the initial one. The type of the vector Ν ° 4, which differs from other types identified during testing, was revealed. It can be classified as a new object with other functional features registered by the device in the functional motor-motor sphere. Since the device previously carried out the identification of all tested (objects) according to morphological characteristics in addition to functional ones, the device assigned the type of vector 4 to the second subject. Since the type 4 vector is different from the type of vector 2, and these differences relate to functionally different types of motor-motor reactions of ONE and the same object, we can draw the following conclusion. The object (tested) that performed test task N ° 8 was in a different state of consciousness in which he conducted tests N ° 2 and N ° 3. This conclusion can be formed only if it is possible to IDENTIFY the object in a different ( ^" different from the functional) way. Otherwise, the Device is not able to detect other (different from the initial) states of consciousness. Since the device detects and measures a new functional vector, which can be interpreted as belonging to another testing object, carried out by an identification device with calculation of the vector of the functional sphere of objects according to motor-motor reactions allows IDENTIFICATION FURTHER conclusion and give an answer to the question of the assignment:

Test task N2I and N ° 7 was performed by one test object, which is identified by Type 1 Vector and is in the same state of consciousness (the consciousness of the object as a countable object equal to the original one is not changed). The test task Ν ° 2, Ν ° 3 and Ν ° 8 was performed by another test object, which is identified by Type 2 Vector, but in the tests Ν ° 2 and Ν ° 3, the object was in the same state of consciousness (the consciousness object is identified by the type of Vector 2), and in the test Ν ° 8, the test object was in a different functional state of consciousness (different from the state of consciousness in which it performed the tests Ν ° 2 and Ν ° 3). The test task Ν ° 4, Ν ° 5, and Ν ° 6 was performed by the third test participant (test object), which is identified by the Type 3 Vector and its state of consciousness is not significantly changed compared to the original one. The protocol of the expert commission confirmed the data received on the device. In the case of test Ν28, the test was performed by a testee who previously performed tests of Ν ° 2 and Ν ° 3 in a clear state of consciousness and showed active wakefulness. However, the state of consciousness of the subject when passing the test теста ° 8 was under the influence of alcohol and he completed the task 30 minutes after its intake. An expert commission noted a state of mild euphoria and mild intoxication. The panel of experts also registered a clear state of consciousness and active wakefulness in test subjects who performed tests N ° l and Ν ° 7. Tests N ° 4, N ° 5 and N ° 6. Thus, the identification carried out by the device coincided with the results of expert testing.

 Conclusion: Identification was successful, the object was identified.

 The technical solutions proposed in this application, taking into account the reflection of the functions of the brain, its psyche and consciousness during the implementation of behavioral and physiological reactions, by registering conscious and unconscious reactions and errors made during testing in dynamics when monitoring the general condition of an individual acting as an operator, followed by mathematical modeling and processing of research results, comparing the data obtained in the calculations with the data averaged and (or) predefined, and ( whether) the identified "standards", which significantly increases the accuracy of diagnostics and the possibility of obtaining random results, the technical proposed solution additionally carries out identification of the person and assesses the adequacy of her consciousness, which are implemented by the correct comparison of dynamically changing paired signals, behavioral reactions, physiological and morphological characteristics, professional classification of personality opportunities, prediction and identification of disorders of states other than clear baud waking up.

Claims

Claim  1. A method for determining the asymmetry profile of an object, including introducing the object into the coordinate system, dividing the object into left and right parts, symmetric pairwise measurement of similar characteristics of the object in the left and right parts, and determining the asymmetry profile in the form of a vector K = (k ..., k „) n - dimensional space, where n> 3 is the total number of measured characteristics, ⁼ (' ^{_ r} i ( ⁺ )' ^g Д ^е and, are the measured characteristics for the left and right parts, respectively, and g, is the normalization factor along the corresponding axis of the coordinate system, which is selected so as to transform the results of the estimation of the asymmetry profile component into according to the used measurement scale.  2. The method according to claim 1, in which the morphological and / or functional characteristics of the object are selected: physical and / or chemical and / or biological parameters of the object.  3. The method according to claim 1, in which the mental parameters of the motor sphere — the motor functions of the object — are selected as characteristics.  4. The method according to claim 1, in which behavioral parameters of the sensory sphere are selected as characteristics.  5. The method according to claim 1., In which the characteristics are selected behavioral parameters of the mental sphere.  6. A method for identifying an object, including determining the profile of the asymmetry of the object in accordance with the method of claim 1, comparing it with a predefined reference asymmetry profile, identifying the object by the difference between the current asymmetry profile and the reference asymmetry profile, while if the difference is at least 2 / 3 component of the vectors is less than 0.17, then the object is identified as corresponding to the reference. 7. A method for assessing the state of consciousness of an object, including determining the profile of the asymmetry of the object in accordance with the method of claim 1, comparing it with a predetermined reference asymmetry profile with an established state of consciousness, determining the state of consciousness of an object from the difference between the current asymmetry profile and the reference asymmetry profile, if the difference of at least 2/3 of the components of the vectors is less than 0.17, then the state of consciousness of the object is estimated unchanged. 8. A device for identifying an object, characterized in that it contains a pairwise symmetric measurement unit of similar characteristics of the object associated with the unit for calculating and comparing the asymmetry profiles, a memory unit for storing the calculated asymmetry profiles associated with the unit of calculation.  9. A device for assessing the state of consciousness or identification of an object, characterized in that it contains a unit for generating exciting signals; a unit of influence on the object, including paired stimuli intended to excite organs and systems controlled by the left and right hemispheres of the brain of the object, and general stimuli intended to excite organs and systems controlled by the left and right hemispheres of the brain of the object simultaneously associated with the generation unit; a unit for measuring morphofunctional characteristics and behavioral parameters of the motor and / or sensory and / or mental spheres, including paired sensors designed to measure the characteristics and parameters of the left and right brain of an object, and general sensors designed to measure the characteristics and parameters of the left and right hemispheres of the brain object at the same time; a calculation unit configured to implement the method of claim 6, associated with the measurement unit; a memory unit for storing calculated asymmetry profiles associated with the calculation unit.  10. A computer-readable storage medium with program code stored on it, which, when run on a computer or microprocessor, implements the method of claim 1.