WO2020176012A1 - Digital educational system for preparing for emerging professions in the field of neurophysiology - Google Patents

Abstract

The invention relates to the field of educating, particularly to educational means for preparing persons for emerging professions in the field of psychophysiology, neurophysiology, and specializations in the field of neurotechnology. The technical result consists in enabling more efficient teaching and assimilation of information content in educational material.

Description

DIGITAL TRAINING COMPLEX FOR PREPARING FOR

FOR PERSPECTIVE PROFESSIONS IN THE FIELD OF NEUROPHYSIOLOGY

Technology area

The invention relates to the field of pedagogy, in particular, to teaching aids for training for promising professions in the field of psychophysiology, neurophysiology and specialties in the field of neurotechnology.

State of the art

In the modern educational process, computer technologies are taking an increasing place. Various technical solutions are known in this area.

For example, patent RU 106016 "Real-time training system". The well-known useful model generally relates to the field of organizing classroom learning using a specially designed electronic educational system that makes it possible to increase the effectiveness of joint learning. The system contains workstations with trainees' computers and means of displaying information for trainees in the group perception mode. Students 'computers are connected via the Internet or WI-FI connection to a server with a software product for training and communication, the server is connected with direct and feedback to a user database containing media content, while the students' computers have two touch screens, and to the system via the network Internet or WI-FI connection with the server turned on the teacher's computer. Moreover, the means of displaying information for students in the group perception mode are connected to the teacher's computer, and the server is also connected to the computer of the administrator of the educational institution through the Internet or WI-FI connection.

This system is intended for teaching the school curriculum and does not imply teaching any additional courses.

The known "Method of teaching and mastering educational material and a device for its implementation" by RF patent 2357294. The known invention relates to the field of pedagogy, in particular to methods of using visual and sound demonstration of the material to be studied. Information transmission of educational material is carried out simultaneously with additional information, receiving it in real time. The trainer coordinates the actions of the students, aimed at assimilating supplemented information. The trainees save the training material on the media of the training workplace. A constant communication is established between the trainers, providing an opportunity for the exchange of messages. The workplace of the trainer includes objects for studying the discipline, equipped with video cameras of video broadcasting networks and control and measuring devices, information display facilities and servers, united by means of communication in local networks. The additional server is connected by means of communication with additional servers of other disciplines into a broadcasting network, made with the ability to connect to other broadcasting networks. The server of the trainer is made with the ability to connect via communication means to other servers that train this discipline. The technical result of the invention is to expand the knowledge base used in the learning process. This technical solution was taken by the authors as a prototype.

The known device does not provide the possibility of teaching students promising professions in the field of psychophysiology, neurophysiology and specialties in the field of neurotechnology.

Neurophysiology is a branch of physiology that studies the functions of the nervous system and its main structural units - neurons. Neurophysiology is closely related to neurobiology, neurology, clinical neurophysiology, psychology, neuroanatomy and other sciences that study the brain.

Knowledge of the basics of neurophysiology is applied in the development of artificial intelligence systems, in the development of mathematical models of the work of the nervous system and the brain, can help in marketing and many other areas. Currently, this is the most promising and demanded direction in education.

There are various courses for teaching neurophysiology. (See, for example, https://www.inlearno.ru/event/4449-obuchavushchii-kurs-neirofiziologiya).

Also known is the construction kit manufactured by BITRONICS LAB

(http://www.bitronicslab.com/. https://nanoiam.ru/products/nabor-konstruktor- iunyi-neiromodelist-bitronics-lab). as well as various gadgets for measuring various physiological parameters of a person manufactured by BioRadio (http://glneurotech.com/bioradio/wp-content/uploads/2014/08/Note BioCapture- EEG.pdf) All known devices are limited in their functionality. They make it possible to record only a small number of physiological parameters of a person, on the basis of which it is impossible to get a complete picture of the activity of the brain, its structure and the application of this knowledge in learning and real life.

Brief disclosure of the essence of the invention

Thus, at present, there are no universal training complexes that provide a ready-made solution developed for the purpose of early career guidance and with the possibility of organizing both the educational process and research activities in psychophysiology, neurophysiology and specialties in the field of neurotechnology.

It is precisely at solving this technical problem that the creation of the proposed digital training complex is aimed at preparing for promising professions in the field of neurophysiology.

The technical result is to increase the efficiency of training and assimilation of information in the training material, due to the fact that:

the proposed complex is designed for 67 lessons, includes 12 sections that allow you to study the physiology of cardiac activity, bioelectric activity of living organisms, explain why the heart beats, and how it works;

- in the classroom, human muscle activity, nerve conductivity, structure and conductivity of the skin and its resistance are studied;

- during a number of classes, there is an acquaintance and study of the structure and functions of the human brain, the bioelectric activity of the brain, the structure of the neural network, the principles of EEG (electroencephalogram);

- in the course of studying the educational material about human brain activity, a great emphasis is placed on the study of basic rhythms, active mental activity. The student in the learning process will be able to form the basic skills of creating interactive classifiers, study the basics of psychophysiology and the functional state of a person, on which the effectiveness of human activity depends, including the concept of biofeedback (BFB) and training BFB in practice;

- part of the sections is devoted to acquaintance with modern technologies, including augmented and virtual realities, principles of control in two-dimensional and three-dimensional spaces, bionics and neuroprogramming, as well as technologies related to neurocomputer interfaces; - the last section involves an expert system for a comprehensive analysis of personality (the author's developed methods aimed at determining professionally important qualities and vocational guidance of students.

Using the proposed complex, you can carry out the following laboratory work:

- research in the field of neurophysiology, including readings of heart rate, building an individual axis of the child's heart, biorhythms, pulse, skin resistance, bioelectrical activity of muscles, etc.

- the formation of the competence of engineers and programmers (in the course of working with robotic structures and neuroinstallations, children will gain knowledge of cybernetics, and will also be able to control models using heart rate, brain activity, potential of electrical activity of muscles, skin resistance readings, by programming the developed author's neuroinstallations or collecting models according to the provided samples of assembly maps in accordance with the topic of the lesson);

- the development or assembly of robotic structures, neuroinstallations, will allow you to study the signals of the brain, the structure of the heart, as well as gain knowledge in the field of cybernetics (neuroprogramming), modern high technologies, get acquainted with the principle of operation of virtual and augmented reality, artificial intelligence. In practice, create a model of an unmanned vehicle by programming its route.

Students also have the opportunity to work in an individual notebook, all the records created for the lesson can be viewed remotely from portable devices outside the classroom.

The technical result is achieved due to the fact that in a digital training complex for preparation for promising professions in the field of neurophysiology, which includes trainees' workplaces with networked computers, a server and means of communication of trainees' workplaces with a server, combining them into a local network, the trainees' workplace includes a neuro-headset , electrical headset and engineering designer, student computers contain software that includes a protocol network interface module, an automatic system update module, a network device and function scanning module, a CRM module, a network address translation module, a function and settings management module, a user interface module of different levels, a module for storing and archiving data, a module for access and security rules, a statistics module, a module for acquaintance with the functionality of the system, which implement algorithms for pairing workstations with external devices, a server and the Internet, performing educational tasks, collecting and storing data as part of assignments. The server software includes a remote computing module and a database of the results obtained.

Additional differences of the complex are:

the neuro-headset includes sensors for recording electroencephalographic signals with dry-type electrodes placed on a helmet worn on the student's head, and a signal amplifier,

- the sensors are fixed on the helmet with the ability to change their location to provide the ability to remove signals from different parts of the brain,

- the neuro-headset is connected to the trainee's workplace by wireless communication,

- the amplifier consists of a serially connected amplifier input unit with a lead electrode, a switch unit, a low-noise amplifier unit, an amplitude limiter unit with a low-frequency (LF) filter and a multichannel analog-to-digital converter (ADC) unit, while the switch unit is connected to the impedance meter unit, and also with the reference and neutral electrodes through a negative feedback unit (NFB), and a negative feedback unit for a low noise amplifier with a 50 Hz suppression circuit is connected in parallel to the low noise amplifier unit.

Robot track "Basic", resource set Robotrack "Color TFT display", resource set Robotrack "Sensors", resource set Robotrack "Audio track", resource set Robotrack "Worm gear", resource set Robotrack "Energitrack" resource set Robotrack "Energitrek-mini"

- The headset includes an EMG (electromyogram) sensor, an ECG (electrocardiogram) sensor, a GSR (galvanic skin response) sensor and a PPG (photoplethysmogram) sensor, located in one housing.

Brief Description of Drawings

The essence of the invention is illustrated by the following figures:

Fig. 1, which shows a block diagram of the educational complex

Fig. 2, which shows a block diagram of a headset amplifier

Fig. Z. which shows the frequency response of the first stage of the EEG amplifier Fig. 4-10, which depicts engineering constructors (one constructor - Robotrack "Basic", the rest of the resource sets - resource set Robotrack "Color TFT display", resource set Robotrack "Sensors", resource set Robotrack "Audiotrack", resource set Robotrack "Worm gear", resource set Robotrack "Energitrek", resource set Robotrack "Energitrek-mini")

Where

1 1 - In workplaces of trainees,

2 - neuro headset,

3 - electric headset,

4 - engineering designer

5 - software of the trainees' workplace.

6 - server

7 - module of remote calculations and database of the results obtained.

8 - OOS block.

9 - amplifier input block.

10 - switch block,

1 1 - low noise amplifier unit,

12 - block of the amplitude limiter,

13 - block of multichannel ADC (analog-to-digital converter)

14 - OOS block for a low-noise amplifier with a 50Hz suppression circuit

15 - impedance meter unit

16 - lead electrode

17 - reference electrode

18 - neutral electrode

Implementation of the invention

The workplace of 1 student is organized on the basis of a personal computer, which is connected by a local network with the server 6. The personal computer is supplemented with software 5 of the workplace of students. This software received a certificate for the computer program N ° 2018665354 "Technical complex for training for promising professions in neurophysiology, including modules: network interface of protocols, automatic system update, scanning network devices and functions, CRM, network address conversion, function management and settings, user interface of different levels, storage and data archiving, access and security rules, statistics, acquaintance with the system functionality "

The program is designed to automate all aspects of the main educational activity in preparing students for new promising professions. The system provides information support for all tasks to be solved within the educational program aimed at the topic under consideration. The software part includes a protocol network interface module, an automatic system update module, a network device and function scanning module, a CRM module, a network address translation module, a function and settings control module, a user interface module of different levels, a data storage and archiving module, an access rules module, etc. security, a statistics module, a module for acquaintance with the functionality of the system, which implement algorithms for interfacing workplaces with external devices, a server and the Internet, performing educational tasks, collecting and storing data as part of tasks.

A certificate for a computer program N ° 2018665878 "Technical complex for preparation for promising professions in neurophysiology, including a remote computing module" was received for the module 11 of remote computing and the database of the results obtained, installed on the server

The program is designed to ensure the operation of complex computational algorithms during educational activities in preparing students for new promising professions. The software part solves the following tasks: ensuring the operation of complex computational algorithms in real time with the available access to the network; providing access to a central database for storing user signal records.

The electric headset (EG) 3 provides registration of an electrocardiogram in one lead, an electromyogram in two channels, a photoplethysmogram and a galvanic skin response in one channel, as well as a combination of these signals and an EEG signal recorded by a neuroheadset in polygraphic mode. ECG, EMG and GSR registration sensors are installed on the human body and connected to the EG using connecting wires. The photoplethysmographic sensor is integrated directly into the EG and for the experiment it is necessary to put a finger on the side of the EG to the photoplethysmographic sensor. Also, the EG has a built-in nine-axis inertial sensor, which allows control the position of the EG in space. The transmission of biosignals recorded by the EG to a PC or other device can be carried out via Wi-Fi or USB. The EG has a built-in display on which the control interface or the registered biosignal is displayed. The EG is powered from the built-in battery.

The EG registers the above-mentioned biosignals exclusively for educational purposes, the use of registered biosignals for medical purposes is not provided.

The headset consists of the following components:

- ADC-7984

- display - WF52ASLASDNGO

- controller - STM32F765

- digital integrated circuit CPLD - LCMX02-7000HC

(httys: // syb.terraelectronica.ru/yroduct/2177706)

-5 TouchProof connectors for connecting sensors - Din connectors 1.5 mm connector for GSR, ECG, EMG.

- micro USB connector for connecting to a computer.

Neuro headset

The kit includes the following items:

1. Amplifying unit of a neuro-headset.

2. Dry electrodes at least 8 pcs. for EEG registration

3. Reference EEG electrodes, at least 2 pcs.

4. Grounding electrode - 1 pc.

5. Set of 5V rechargeable battery with micro USB.

6. System of fastenings for head and shoulder.

7. microUSB - USB for connecting the amplifier unit to a computer.

The amplifying unit of the neuro-headset is designed to record the bioelectrical activity of the brain through the connected EEG electrodes and to further process and transmit the surface EEG or signals obtained on its basis to a PC or a device that replaces it.

The headset amplifier must have both high sensitivity and high noise immunity. The sensitivity should be at the level of 1 μV with possible input line interference up to 0.5 V even with special suppression circuits by means of additional electrodes on the patient's body. The resistance of the electrode contact with the patient's body in the case of "dry" electrodes is in the range of 50 ... 500 kOhm in case 6.. .8 contact protrusions in one electrode (average value L / 50 * 500 = 158 kΩ).

The sensitivity of 1 μV corresponds to the amplifier's own noise, reduced to its input, at a level of 0.3 μV in the band from 1 to 30 Hz. This frequency band refers to infra-low frequencies, which are characterized by the manifestation of specific noise "I / f", also called "pink" noise or "flicker noise". Because of this, when designing an EEG amplifier, it is imperative to look at the noise characteristics at infra-low frequencies and choose with a lower value not only of noise, but also of the parameter "1 / f corner frequency" - the frequency of transition from noise of the "I / f" type to uniform white noise. One of the best amplifiers in this frequency domain is the AD8672, whose noise in the 0.1 ... 10 Hz band is 77 nV p-p, and the "1 / f comer frequency" is 1 Hz. The AD8672 has a differential input impedance of 15 MΩ, which is acceptable for a 158 kΩ signal source.

Suppression of mains noise 50 Hz must be carried out in the first stage of the amplifier in order to obtain a high gain without saturating the amplifier from large noise. This can be done if a frequency-corrected feedback is introduced into the amplifier, so that there is no gain at 50 Hz (see Fig. 3).

In the proposed scheme, to suppress the 50 Hz amplification, OOS (negative feedback) of the first stage is used, in the circuit of which a 2-T notch bridge is included. The equivalent resistance of the OOS circuit at a frequency of 50 Hz drops sharply, as a result of which the overall gain also drops. The amount of gain reduction depends on the spread of the 2-T bridge components (resistors and capacitors). For a typical 5% spread, the notch will be around 40 dB (see Analog Devices - Twin T Notch Filter, Mini Tutorial (MT-225)). If resistors with 1% spread are easy to find, then capacitors with 1% spread, and even tens of nano Farads, are almost impossible to find, and their cost will be high.

The gain must be more than 100 (40 dB), which will allow the minimum noise characteristics of the amplifiers used to be realized. When the gain is increased over 100, the noise, although it drops, is very insignificant. The proposed amplifier has a gain of approximately 316 times (50 dB). Taking into account the 50 Hz rejection depth of about -40 dB, it turns out that the 50 Hz interference is also amplified, only not by 310 times, but only by 3.16 times. So that with such a gain not there would be a signal limiting mode, the input amplifier is powered by an increased supply voltage of ± 10 V, which makes it possible to work with 50 Hz interference up to ± 1.5 V (with a margin).

The block diagram of the amplifier is shown in Fig. 2. The following element base can be used to create the proposed circuit:

Block 8 OOS for "binding" the potential of the circuit earth to the potential of the human body - RLD circuit on OPA2140ASh,

Amplifier input unit 9 - ESD Protection, OverVoltage Protection - BAV99, Amplifier channel operating mode switch unit 10 - ADG5209BRUZ,

Low Noise Amplifier Block 11 - AD8672ARZ,

Block 12 of the amplitude limiter with a low-pass filter - BAV99,

Block 13 multichannel ADC - ADS1299IPAG,

Block 14 OOS for a low-noise amplifier with a 50 Hz suppression circuit - 2-T bridge on AD8244BRMZ ± integrator on AD8622ARZ,

Block 15 of the impedance meter - AD5933YRSZ ± channel switches on the ADG728BRUZ ± output and input amplifiers on the AD8622ARZ.

DF6.17 sensors are used (manufactured by LLC Engineering Center "Complex-M", passport TRVTs.301241.001PS). The sensor body is made of cast polyamide 610 GOST 10589-87. In the upper part of the body there is a 12.5 mm Alpha button fastening device for attaching the electrode to the headset. At the bottom of the case are six wire contacts with 316G stainless steel balls at the ends, providing electrical contact with the skin surface. All contacts are electrically connected to each other and the central core of the cable for connection to the measuring unit of the complex.

Engineering Designer and Resource Sets

An engineering designer and resource kits produced by Brain Development LLC are used. Below are their brief descriptions.

1. Constructor Robotrack "Basic" (figure 4)

The set includes at least 828 parts:

1. Plastic beams of different shapes (5 types), blocks (11 types) for

constructing objects.

2. Metal blocks of different shapes (10 types).

3. Wheels (5 types). 4. Gears (4 types), levers and plastic corners, a set of links for tracks.

5. A set of plastic (4 types) and metal (3 types) shafts, plastic bushings and plastic, rubber and metal couplings, iron bolts (three sizes) and nuts, washers.

6. A set of flat plastic frames (3 types) and rubber adapters (2 types).

7. A set of volumetric rectangular connecting beams (2 types).

8. Set of plastic pins in 5 sizes and fixtures for installing pins.

9. One motherboard for the advanced level.

10. Two DC motors and 1 servo motor for advanced level and 2 external encoders.

11. A set of various sensors (6 types).

12. USB cable for the advanced board and a programmer for the main board.

13. Case for 9 V batteries.

14. Remote control.

15. Screwdriver, wrench.

16. Disk with ROBOTRACK SOFTWARE, instructions, at least 39 ready-made files for flashing the TRECDUINO board with algorithms for programming robots, provided that the ROBOTRACK SENSORS kit is available in addition.

With the help of the "Basic" Robotrack constructor, you can form the basic skills and competencies for professions related to the scientific and technical direction, for example, a development engineer, a model engineer, a design engineer, a design engineer, etc. Within the framework of the complex, the student can develop his own author's project - a neuroinstallation, where he can demonstrate the knowledge gained in the field of neuro- and psychophysiology in the development and programming of robotic models. A student, using the details of the constructor, can develop a prototype of a non-installation related to the demonstration of the work of certain human organs, demonstrate his functional activity (for example, the "Instinct" model, demonstrating one of the functions of the midbrain: maternal instinct, assemble a prototype bathyscaphe or any other robotic model, which can demonstrate the capabilities of the body a person, i.e. control robotic models using bioelectrical activity of the heart, muscles and brain)

2. Resource set Robotrack "Sensors" (Fig. 5)

The set includes at least 25 elements:

1. LED modules in three colors.

2. Accelerometer, gyroscope.

3. Two external encoders.

4. Fire sensor.

5. Sound sensor.

6. Touch sensor.

7. Tilt sensor.

8. Vibration sensor.

9. Magnetic field sensor.

10. Piezo emitter.

11. Ultrasonic distance sensor.

12. Color sensor + light sensor.

13. Remote control sensor.

14. Infrared sensor (PC-sensor).

15. Speaker.

When developing your own models or creating neuroinstallations, provided for by classes according to the sample, this resource set with sensors allows you to create an imitation of the work of the human body, for example, the robotic model "RoboBrain". When developing author's unique neuroinstallations, it allows demonstrating the work of prototypes of production models or working out theoretical knowledge gained in class using the project itself developed (for example, the laboratory work "INTERFACE" BRAIN - COMPUTER ", where it is necessary to develop an author's, unique neuroinstallation simulating Delgado's experiment.)

3. Resource kit Robotrack "Color TFT display" (Fig. 6)

Consists of TFT 2.4 LGD touch display, TFT housing, cable With the help of libraries and graphic blocks included in the Robotrack software, you can perform basic actions - draw geometric shapes, display text, turn on the drawing mode on the touch screen.

With the help of the TFT display, the student can demonstrate the result of working with the program, can display the result of the program and his activities in the field of programming on the screen.

4. Resource set Robotrack "Worm gear" (Fig. 7)

The helical gear is essential for the creation of complex mechanical transmissions, forming the competence of design engineers and design engineers. Using this resource set, the power of lifting mechanisms and transmission of motion at an angle of 90 degrees is increased. The set includes 1 worm gear.

5. Resource set Robotrack "Energitrek-mini" (Fig. 8)

Consists of a battery and a charger.

"Energitrek-mini" allows to ensure long-term operation of boards at maximum load, supports the simultaneous use of 2 DC motors, together with servomotors, and other sensors / performers. It will be useful for the development of large-scale projects using educational sets "Robotrack".

6. Resource set Robotrack "Energitrack" (Fig. 9)

Consists of a battery and a charger.

"Energitrack" allows to ensure long-term operation of boards at maximum load, supports the simultaneous use of 4 DC motors, together with servomotors, display, audio track and other sensors / performers. It will be useful for the development of large-scale projects using educational sets "Robotrack".

7. Resource set Robotrack "Audiotrack (fig. 10)

Consists of speaker, case, memory card.

Allows you to use the ability to play audio files when developing projects or to play instructions in laboratory work (for example, laboratory work "Autogenic training").

The audio module "Audiotrack" is designed to expand the capabilities of the "Basic" Robotrack constructor. Allows you to play audio recordings in popular formats such as MP3, WAV and WMA. The complex works as follows:

1. The software is installed on the computer.

2. The software is launched and logged into the system using your username and password.

3. The module with the lesson is launched (the lesson schedule is compiled in the CRM system).

4. The theoretical material of the lesson is studied, the prepared material is used, structured by sections and topics. A glossary is used if necessary.

5. Laboratory work is being carried out. There are 4 types of laboratory work in total.

depending on the type of laboratory work, one of the following actions is performed to conduct it:

• the interactive application is launched;

• a robotic model or neuroinstallation is assembled and controlled;

• equipment is connected (a neuro-headset or an electric headset), the equipment is set up, signals are picked up and bioelectric signals of the human body are studied, or the analysis of the previously received signal;

• a robotic model is assembled, equipment (neuro-headset or electric headset) is connected and the robotic model is controlled.

6. If necessary, enter data into a personal notebook, draw graphic objects or use a glossary.

7. Testing is in progress. The testing module and the developed technology of the testing procedure allow both individual control of knowledge by the teacher and self-control of the knowledge gained by the student himself.

8. All test results obtained in the course of work and removed signals are saved on the server.

Laboratory work can be of 4 types:

1. Laboratory work, which involves the study of psychophysiology and neurophysiology of a person and the capabilities of the human body. For example, laboratory work of section 5 of lesson 3 "Creating a personal scheme 10-20". 2. Integration of neurophysiology and engineering. The purpose of this type of laboratory work is to study the possibility of controlling robotic neuroinstallations created and developed by the students themselves from the Robotrack "Basic" constructor using resource kits or neuroinstallations collected from the assembly maps that follow the topic of the lesson. Control of this type of neuroinstallation using signals from the brain, heart, muscle potential and GSR. This laboratory work consists of two parts: the first part is engineering, within which the teacher assembles a neuroinstallation and programs it, programming can take place in two ways (use a ready-made program or create a program for a neuroinstallation yourself, programming takes place in the RobotrackIDE environment). The second part of the laboratory work consists in picking up bioelectric signals of a person and enabling students to use this signal to control neuroinstallations. This type of laboratory work is aimed at demonstrating human capabilities and using physiological indications in practice. For example, laboratory work of section 5 of lesson 4 "electrophysiological methods of studying the brain"

3. Engineering. The student develops or collects neuroinstallations using assembly maps that demonstrate the work of human neurophysiological processes. For example, a neural network model or "RoboBrain"

4. Work with an interactive application for the study and consolidation of knowledge from the field of human neurophysiology. For example, laboratory work of section 2 of lesson 4 "medulla oblongata"

Thus, the proposed complex makes it possible to significantly increase the efficiency of teaching and assimilation of educational material in the study of the basics of psychophysiology, neurophysiology and specialties in the field of neurotechnology in comparison with known analogues.

Claims

CLAIM 1. A digital training complex for preparation for promising professions in the field of neurophysiology, including workplaces of trainees with networked computers and software, a server with software and communication tools for workplaces of trainees with a server, combining them into a local network, characterized in that the workplace trainees include a neuro-headset, an electric headset and an engineering designer, trainee computers contain software that includes a protocol network interface module, an automatic system update module, a network device and function scanning module, a CRM module (Customer Relationship Management decoding), a network address translation module, a management module functions and settings, a module for user interface of different levels, a module for storing and archiving data, a module for access and security rules, a statistics module, a module for acquaintance with the functionality of the system, which implement pairing algorithms work places with external devices, a server and the Internet, performing educational tasks, collecting and storing data as part of the tasks, while the server software includes a remote computing module and a database of the results obtained. 2. The complex according to claim 1, characterized in that the headset includes "dry" sensors and a signal amplifier placed on the helmet. 3. The complex according to i.2, characterized in that the sensors are made with the ability to change the location on the helmet, to provide the ability to remove signals from different parts of the brain. 4. Complex according to I. impedance meter unit, as well as with reference and neutral electrodes through a negative feedback unit (NFB), and a negative feedback unit for a low-noise amplifier with a 50 Hz suppression circuit is connected in parallel to the low-noise amplifier unit. 5. The complex according to claim 1, characterized in that the Robotrack "Basic" constructor is used as an engineering designer, a resource set Robot track "Color TFT display", resource set Robot track "Sensors", resource set Robot track "Audio track", resource set Robot track "Worm gear", resource set Robot track "Energitrack", resource set Robot track "Energitrack-mini". 6. The complex according to claim 2, characterized in that DF6.17 sensors are used as "dry" sensors.