CN203208022U - Electroencephalograph - Google Patents
Electroencephalograph Download PDFInfo
- Publication number
- CN203208022U CN203208022U CN 201320046719 CN201320046719U CN203208022U CN 203208022 U CN203208022 U CN 203208022U CN 201320046719 CN201320046719 CN 201320046719 CN 201320046719 U CN201320046719 U CN 201320046719U CN 203208022 U CN203208022 U CN 203208022U
- Authority
- CN
- China
- Prior art keywords
- signal
- preprocessor
- sensor
- electroencephalograph
- processing controller
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Expired - Fee Related
Links
Landscapes
- Measurement And Recording Of Electrical Phenomena And Electrical Characteristics Of The Living Body (AREA)
Abstract
The utility model provides an electroencephalograph. The electroencephalograph comprises sensors, a preprocessor and a post-processing controller, wherein the sensors, the preprocessor and the post-processing controller are sequentially connected. The sensors comprise a skin temperature sensor, a galvanic skin response sensor, a myoelectricity sensor, a respiration sensor and a blood volume sensor. The preprocessor is used for carrying out preprocessing on signals from the sensors, and the post-processing controller is used for controlling the preprocessor and analyzing the signals from the preprocessor.
Description
Technical field
This utility model relates to the signal detection technique field, especially relates to a kind of electroencephalograph.
Background technology
Our brain is not producing brain wave all the time.As far back as 1857, a young physiological science worker cartoon (R.Caton) of Britain was recorded to brain electrical acti at Medulla Leporis seu Oryctolagi and monkey brain, and had delivered " research of ectocinerea electrical phenomena " paper, but did not draw attention at that time.After 15 years, Bake (A.Beck) is delivered the paper of brain wave again, just start the upsurge of research brain electrical phenomena, the psychiatrist Bei Geer (H.Berger) of Germany just has been recorded to the brain wave of human brain, the people's that from then on has been born electroencephalogram veritably until nineteen twenty-four.
Scientific research is found: on electroencephalogram, brain can produce four class brain waves.When you under tense situation, what brain produced is the β ripple; When you felt that sleepiness is dim, brain wave just became the θ ripple; When entering sound sleep, become the δ ripple; When your physical relaxation, brain is active, when inspiration is continuous, has just derived alpha wave.
The utility model content
The technical problem that this utility model solves is to provide a kind of electroencephalograph.
In order to overcome the above problems, this utility model provides a kind of electroencephalograph, comprise: the sensor that is linked in sequence, preprocessor and rearmounted processing controller, described sensor further comprises skin temperature sensor, skin electric transducer, hungry electric transducer, respiration pickup and blood-volume transducer, described preprocessor is used for the signal from sensor is carried out pretreatment, and rearmounted processing controller is used for preprocessor is controlled and to analyzing from the preprocessor signal.
Further, as preferably, described preprocessor further comprises a preamplifier, is used for the amplification to signal.
Further, as preferably, described preprocessor further comprises a 50Hz wave trap, is connected the preamplifier back, is used for the filtering to power frequency.
Further, as preferably, described preprocessor further comprises a high-pass and low-pass filter, is connected 50Hz wave trap back, is used for the filtering to signal.
Further, as preferably, described preprocessor further comprises A/D converter, is connected the high-pass and low-pass filter back, is used for signal is carried out the A/D conversion.
Further, as preferably, described preprocessor further comprises the usb communication interface, is connected the A/D converter back, is used for being connected with rearmounted processing controller.
Individual brain function state activity level can more directly effectively be monitored and assess to this utility model not only quantitatively; but also by adopting the control technique based on the biofeedback principle; make that individuality is convenient more regulates its brain function and cognitive state effectively, and promote its mental health and brain function protection and exploitation.
Description of drawings
When considered in conjunction with the accompanying drawings, by the reference following detailed, can more completely understand this utility model better and learn wherein many attendant advantages easily, accompanying drawing described herein is used to provide further understanding of the present utility model, constitute a part of the present utility model, illustrative examples of the present utility model and explanation thereof are used for explaining this utility model, do not constitute to improper restriction of the present utility model, wherein:
Fig. 1 is this utility model embodiment electroencephalograph block diagram.
The specific embodiment
Followingly with reference to figure embodiment of the present utility model is described.
For above-mentioned purpose, feature and advantage can be become apparent more, below in conjunction with the drawings and specific embodiments this utility model is described in further detail.
As shown in Figure 1, a kind of electroencephalograph, comprise: the sensor 2 that is linked in sequence, preprocessor 3 and rearmounted processing controller 4, described sensor 2 is gathered human body primary signal 1, further comprise skin temperature sensor 21, skin electric transducer 22, hungry electric transducer 23, respiration pickup 24 and blood-volume transducer 25, described preprocessor 3 is used for the signal from sensor 2 is carried out pretreatment, and rearmounted processing controller 4 is used for preprocessor 3 is controlled and to analyzing from preprocessor 3 signals.Described preprocessor 3 further comprises preamplifier 31,50Hz wave trap 32, high-pass and low-pass filter 33, A/D converter 34 and the usb communication interface 35 that is linked in sequence.
The concrete work of each several part is as follows:
1, skin temperature sensor
Because the size of critesistor is little, thermal capacity is little, precision is high, in biomedical measurement multiselect it as temperature-sensing element (device), require critesistor its resistance in human body temperature excursion (20～40 ℃) to be linear change.Skin temperature signal adopts the direct-current bridge temperature measuring equipment to carry out thermometric.
2, skin electric transducer
The skin electric transducer generally has two kinds of forms, and a kind of is two stainless electrode slices, and a kind of is two platings.
The contact electrode of AgCl.The latter gathers the signal of telecommunication because adopted nonconducting AgCl electrode by the electrochemical reaction of conductive paste between electrode and human body, has avoided the induced voltage that may exist owing to there is not good earth to the shock hazard of human body.But, because kind electrode need cooperate conductive paste to use together, and often cleaning and renewal of AgCl, so cost is than higher.In native system, adopt cheap stainless steel electrode, and in circuit design, used isolated amplifier, eliminated shock hazard effectively.
3, myoelectric sensor
So-called myoelectricity just refers to that the comprehensive electricity of a plurality of myocytes when excited and tranquillization changes.The principle that myoelectricity produces is because the potential difference that the motion of the middle cation of each myocyte (muscle fiber) and anion produces.Myocyte itself is equivalent to a biobattery, can be in polarization and depolarization two states.When myocyte's excitement or tranquillization, because the effect of depolarization and polarization again will produce certain bioelectric.
The collection of myoelectricity is to finish with reference to ground electrode by lay two potential electrodes and one at people's skin surface.It converts the ion current in the human body in circuit electric current, is actually a kind of special transducer, and electrode is made up of the dry Signa Gel that AgCl and outside comprise, and during use electrode is fixed on skin surface by adhesive sticker on every side.The AC impedance of kind electrode≤3k Ω, DC offset voltage≤100mV, interior noise≤150 μ V, and also very little to the stimulation of skin, satisfied through the experimental verification effect.In order to suppress useless signal, the equiva lent impedance that three electrodes of myoelectricity feedback apparatus and contact skin form should be in a basic balance, that is to say make three electrodes become equilateral triangle substantially that two potential electrode centre-to-centre spacing are with 2～3cm the best.And in test process, preferably guarantee the definitiveness of electrode riding position, even because dislocation of electrode 2mm also may cause very big error.
4, respiration pickup
Respiration pickup generally has three kinds of forms: gas type, and liquid-type, drawing.Wherein gas type uses the screw-like rubber tube of inflation, is worn over breast or abdominal part, and when breathing, gas is subjected to the extruding that stretches in the pipe, and pressure changes, and is converted to analog electrical signal, and input amplifying circuit amplifies; The liquid-type sensor then uses a kind of dielectric tubule that is full of, and is worn over chest or abdominal part, and when breathing, liquid in pipe is under pressure, and causes that dielectric resistance changes, and is converted to the variation of voltage or the electric current of variation by signaling conversion circuit; The principle of stretch sensor is for when the people breathes, and the diameter of chest or abdominal part changes, and the feasible pulling force that is centered around the stretch sensor of chest or abdominal part changes, and is converted to analog electrical signal.This transducer sensitivity height does not exist gas leakage and the problem of leakage, so long as not the stretching of excessive intensity, makes sensor suffer artificial destruction, and this sensor is not fragile, long service life, and also cost is lower, so in native system, adopted.
Through experimentation, the measured is under nervous with tranquil situation, and the index with significant difference is the stability of respiratory frequency and capacity, and frequency itself also can be used as the index of evaluation concerning individuality.When a people's mental tension, his breathing and heart rate often show as when loosening calmly rapid and unstable, be embodied in to loosen on the stability indicator and be: when people's psychology is in relaxation state fully, his stability of loosening should be close to zero, in addition, breathe the rising edge of collection of illustrative plates and the slope absolute value of trailing edge and should equate that collection of illustrative plates is the isoceles triangle shape; And " incisura " in the blood volume collection of illustrative plates should basic horizontal.
5, blood-volume transducer
The detection basis of blood-volume transducer is photoelectric effect, under rayed, some metal or semi-conductive conductivity change, resistance can drop to hundreds of Europe from mega-ohms, in the range of light intensity of a certain part, resistance and light intensity are linear, and these metals or quasiconductor can be made photoconductive resistance.Native system utilizes photoconductive resistance, photodiode, phototriode as sensor, finishes the light-to-current inversion of biomedicine signals.
Blood is the height opaque liquid, and the penetrance of near-infrared monochromatic light in general tissue is than big tens times in blood, and this phenomenon can be used for the measurement that capillary bed is beaten.Light sees through the capillary bed of finger tip, and along with arteriopalmus, the variation of capacity of blood vessel can change absorption, reflection and the scattering of light.Blood-volume transducer generally is divided into two kinds, and a kind of light source and light-sensitive element utilize the reflection of light and scattering to gather the intensity variations amount at the homonymy of finger tip; A kind of light source and light-sensitive element utilize the transmission of light to gather the intensity variations amount in the both sides of finger tip.Consider the simplicity of making, native system adopts the homonymy mode, through experiment, measures collection of illustrative plates and satisfies the needs of analyzing fully.The change-over circuit of photosignal shown in figure below, the high pass filter that wherein utilizes RC to form has played the DC component of blocking signal, eliminates the effect of the interference that big transmission amount causes.
Aspect rearmounted data analysis, it mainly is the design of evaluation algorithms.The purpose of biofeedback is to improve loosens ability, and along with the raising of loosening ability, biofeedback signals will change.The function of the assay unit of software is followed algorithm exactly, and the signal of each passage of collecting is carried out the extraction of eigenvalue, and each eigenvalue that loosens the stage is compared, and finally draws the evaluation to this relaxation effect.Loosening stability is an important index estimating relaxation effect, supposes that X (k) is a discrete time series, and length is M, then calculates the formula that loosens stability to be
Following formula generally is used for the evaluation to the active degree of respiratory frequency, heart rate, myoelectricity.This test macro comprises Pi Wen, skin electricity, myoelectricity, breathing and blood volume five road signals, respectively an introduction is done in the evaluation methodology of three road signals wherein below wherein.
1, Pi Wen
Show that according in the past achievement in research when using the skin temperature to carry out the biofeedback relaxation training, along with the raising of loosening ability, the skin temperature will rise, but peak or maximum that we can not simply reach according to the skin temperature are evaluated relaxation effect.This is because there is tangible individual variation in the baseline value of different its skin temperature of human body, and same individual's skin temperature baseline value neither be constant, and it significantly is subjected to influence of various factors such as room temperature, clothing, diet, motion and body temperature diurnal periodicity.In order to eliminate ectocine as far as possible, more objective appraisal learning effect, we adopt " intensification ability " this index to loosen the standard of ability as evaluation, and calculate by following formula:
98 °F (36.7 ° of C) in the formula are the maximum temperatures that skin Wen Suoneng reaches, and baseline value is 4 minutes skin temperature average under rest state.Wherein Fahrenheit, centigrade reduction formula are:
Along with the enforcement of relaxation training, the change that the numerical value of the intensification ability of Pi Wen can be gradually is big, and the ability of loosening that the measured is described is in gradually reinforcement.
2, skin
In the middle of each road signal, the frequency of skin electricity is minimum less than 1Hz, and apparent in view to the reacting condition of psychology, therefore estimates than being easier to.The skin signal of telecommunication comprises two kinds of signal components, a kind of is the quiescent value of people's skin resistance, it is DC component, another kind is the relative value of amplitude of variation, it is AC compounent, when the tested person reached the state that loosens, his DC component was presented as continuous downward trend, and AC compounent is presented as constantly reducing of peak-to-peak value.
3, myoelectricity
Moving cell is the least unit of musculation, also is the direct factor that electromyographic signal produces, when the people's
The muscular tone degree is not simultaneously, the moving cell quantity of participation activity is also inequality, accordingly, the amplitude of the electromyographic signal that produces and the frequency range of signal are also different, the amplitude of general electromyographic signal influences the signal frequency range of signal voltage size between 30～200Hz at several to dozens of μ v.The analytical method of myoelectricity is adopted the Digital Signal Processing of adaptive-filtering herein, different frequency to myoelectricity extracts, carry out evaluation analysis respectively, draw a comprehensive result then, only in this way could have one to estimate accurately to the very wide signal of frequency band.
Calculating electromyographic signal decline ability can carry out according to normalized form, and when measured's psychology and physiology loosening gradually, his myoelectricity level descends accordingly, is presented as the reinforcement of myoelectricity decline ability.
But training result is except relevant with the state of tested person own, and the influence of external environment also is very large, therefore, in order to obtain accurately objectively relaxation effect, must guarantee the correct of sensor wearing mode, test environment relatively stable, and the measured must adapt to environment facies.Under the normal situation, by relaxation training, the stability of breathing can be more steady, the baseline value of myoelectricity, skin electricity and blood volume should descend gradually, the baseline value of Pi Wen should rise gradually, therefore, also can evaluate the variation of the ability of being loosened by the trainer by baseline value in the relaxation training process.
Generally speaking; reflection organism physiology and biochemical signal or the parameter that changes are faint mostly; and; in order to reduce the interference of organism normal activity or to prevent injury to organism; always reduce the quantity of sampling quantity to human body in the measurement as much as possible, thus cause measured signal fainter [.A biomedicine signals hardware of data acquisition part mainly comprises several parts compositions such as biomedicine signals sensor, amplifier, wave filter, A/D converter, communication interface circuit.Because native system comprises Pi Wen, skin electricity, myoelectricity three road signals, can make evaluation result more objective, accurate by information fusion.But (in 0.5 ~ 1000Hz), and general amplitude is all little than religion, and therefore the performance to the aspects such as amplification, filtering and elimination noise jamming of circuit has all proposed very high requirement because the signal that relates to is in a very wide frequency range.Moreover, because the electrode of operative sensor is the metallic conduction thing, and instrument USB directly powers, and causes shock hazard because imperfect earth has too high induced voltage unavoidably, and therefore, it also is particularly important adding reliable quarantine measures in circuit.
Preamplifier is used for amplifying weak signal, earlier signal is filtered the strong signal of high frequency by electrochemical capacitor, comes amplifying signal by degenerative amplifier then.Power amplifier refers to amplify the power of AC signal, is exactly electric current and the voltage that amplifies electrical appliance under the distortionless situation of signal.
Wave trap is used in the signal of filtering unwanted frequency on the circuit, adds wave trap at the edge of band filter passband, the shunt-resonant circuit of normally connecting, or series loop in parallel, and their resonant frequency is exactly to want the frequency of filtering.
High-pass and low-pass filter is by useful signal zero-decrement passing through as far as possible, the decay big as far as possible to garbage signal, high-pass filtering and low-pass filtering are filtered out the ripple signal that is higher or lower than some threshold values in the ripple signal, keep the ripple signal that needs, wave filter has the frequency selection to the signal that passes through.
Analog-digital converter is A/D converter, or is called for short ADC, and typically referring to one is the electronic component of digital signal with analog-signal transitions.Common analog-digital converter is the digital signal that an input voltage signal is converted to an output.Because digital signal itself does not have practical significance, only represents a relative size.So any one analog-digital converter all needs one with reference to the standard of analog quantity as conversion, more common reference standard is maximum convertible signal magnitude.The digital quantity of output represents that then input signal is with respect to the size of reference signal.
The effect that rearmounted processing controller plays is: finish the setting to each channel sample frequency; Control multichannel A/D conversion; Receive host computer information, realize that host computer is to the control of hardware and to host computer transmission data.Whole procedure comprises that mastery routine and A/D gather subprogram two parts, mastery routine is mainly finished the sample frequency that intervalometer T0 controls each passage is set, opening T0 interrupts, arrange and gather and send two relief areas etc., after mastery routine receives the host computer command word, judge it is requirement transmission data or to the control of hardware according to communication protocol, if require the transmission data, then program is judged current transmission buffer pointer, send data according to certain format then, return initialize routine after being sent completely.Host computer mainly is according to software requirement change hardware amplification to the control of hardware, when being judged as PC control hardware command word, reads down the data that pass, and by electrical switch corresponding data is passed to hardware change amplification.Return initialize routine after change is finished, wait for host computer command word next time.The effect that A/D gathers subprogram mainly is to open the A/D sampling, opens different passages respectively, judges the pointer in acquisition buffer district at that time, and the data that collect are deposited in relief area according to certain form.
As mentioned above, embodiment of the present utility model is explained, but as long as not breaking away from inventive point of the present utility model and effect in fact can have a lot of distortion, this will be readily apparent to persons skilled in the art.Therefore, such variation also all is included within the protection domain of the present utility model.
Claims (6)
1. electroencephalograph, it is characterized in that, comprise: the sensor that is linked in sequence, preprocessor and rearmounted processing controller, described sensor further comprises skin temperature sensor, skin electric transducer, myoelectric sensor, respiration pickup and blood-volume transducer, described preprocessor is used for the signal from sensor is carried out pretreatment, and rearmounted processing controller is used for preprocessor is controlled and to analyzing from the preprocessor signal.
2. electroencephalograph according to claim 1 is characterized in that described preprocessor further comprises a preamplifier, is used for the amplification to signal.
3. as electroencephalograph as described in the claim 2, it is characterized in that described preprocessor further comprises a 50Hz wave trap, is connected the preamplifier back, be used for the filtering to power frequency.
4. as electroencephalograph as described in the claim 3, it is characterized in that described preprocessor further comprises a high-pass and low-pass filter, be connected 50Hz wave trap back, be used for the filtering to signal.
5. as electroencephalograph as described in the claim 4, it is characterized in that described preprocessor further comprises A/D converter, be connected the high-pass and low-pass filter back, be used for signal is carried out the A/D conversion.
6. as electroencephalograph as described in the claim 5, it is characterized in that described preprocessor further comprises the usb communication interface, be connected the A/D converter back, be used for being connected with rearmounted processing controller.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 201320046719 CN203208022U (en) | 2013-01-28 | 2013-01-28 | Electroencephalograph |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 201320046719 CN203208022U (en) | 2013-01-28 | 2013-01-28 | Electroencephalograph |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN203208022U true CN203208022U (en) | 2013-09-25 |
Family
ID=49197605
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN 201320046719 Expired - Fee Related CN203208022U (en) | 2013-01-28 | 2013-01-28 | Electroencephalograph |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN203208022U (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103793593A (en) * | 2013-11-15 | 2014-05-14 | 吴一兵 | Third life maintenance mode and longevity quantification traction information exchanging method and implementation thereof |
| CN107928666A (en) * | 2017-12-18 | 2018-04-20 | 中北大学 | The wearing harvester of scalp Muscle artifacts in a kind of removal EEG signals |
-
2013
- 2013-01-28 CN CN 201320046719 patent/CN203208022U/en not_active Expired - Fee Related
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103793593A (en) * | 2013-11-15 | 2014-05-14 | 吴一兵 | Third life maintenance mode and longevity quantification traction information exchanging method and implementation thereof |
| WO2015070634A1 (en) * | 2013-11-15 | 2015-05-21 | 吴一兵 | Life maintenance mode, brain inhibition method and personal health information platform |
| CN103793593B (en) * | 2013-11-15 | 2018-02-13 | 吴一兵 | One kind obtains brain states objective quantitative and refers to calibration method |
| CN107928666A (en) * | 2017-12-18 | 2018-04-20 | 中北大学 | The wearing harvester of scalp Muscle artifacts in a kind of removal EEG signals |
| CN107928666B (en) * | 2017-12-18 | 2020-04-17 | 中北大学 | Wearing collection device for removing scalp myoelectricity artifact in electroencephalogram signal |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US5280791A (en) | Monitor system for determining the sleep stages of a person | |
| CN109222969A (en) | A kind of wearable human upper limb muscular movement fatigue detecting and training system based on Fusion | |
| US20190295729A1 (en) | Universal non-invasive blood glucose estimation method based on time series analysis | |
| CN103919548B (en) | Detecting device and detecting equipment for swallowing muscle disorders | |
| CN109259762A (en) | A kind of muscular fatigue comprehensive test device based on multivariate data fusion | |
| CN104257368A (en) | Device for monitoring sleep and screening obstructive sleep apnea syndrome | |
| CN113100776B (en) | Fatigue monitoring system and method for fusing myoelectricity and electrocardiosignal | |
| DK177536B1 (en) | Method for detecting seizures | |
| US20140378859A1 (en) | Method of Multichannel Galvanic Skin Response Detection for Improving Measurement Accuracy and Noise/Artifact Rejection | |
| KR20120094857A (en) | Apparatus for measure of bio signal and method for analysis of rehabilitation training by suit type bio sensors | |
| CN104605850A (en) | Real-time monitoring device and method for bladder urine volume based on electrical impedance tomography imaging technology | |
| CN114587388A (en) | A neuromotor function auxiliary diagnosis armband based on sensor spatiotemporal fusion model and its use method | |
| WO2021121235A1 (en) | Sleep monitoring and regulation method and apparatus based on human body multimode signal | |
| CN114587288A (en) | A sleep monitoring method, device and device | |
| Liu et al. | Flexible non-contact electrodes for bioelectrical signal monitoring | |
| Nyni et al. | Wireless health monitoring system for ECG, EMG and EEG detecting | |
| KR20170089085A (en) | Device for estimating movement using bioimpedance and an electromyogram and method for estimating movement using the same | |
| CN203208022U (en) | Electroencephalograph | |
| CN111134641A (en) | A sleep monitoring chip system and sleep monitoring chip | |
| CN115153580B (en) | A skin impedance measurement method and system for fetal electrocardiogram monitoring | |
| Amorim et al. | Application of surface electromyography in the dynamics of human movement | |
| CN114903445A (en) | Intelligent monitoring and early warning system for cardiovascular and cerebrovascular diseases | |
| CN203208024U (en) | Brain wave training instrument | |
| EP4098185A1 (en) | System, method, portable device, computer apparatus and computer program for monitoring, characterisation and assessment of a user's cough | |
| CN120304791A (en) | A real-time mental state monitoring system based on smart wearable devices |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| C17 | Cessation of patent right | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20130925 Termination date: 20140128 |