CN106859643A - A kind of system of study movement person's pre-games brain electricity feature and sports achievement correlation - Google Patents

A kind of system of study movement person's pre-games brain electricity feature and sports achievement correlation Download PDF

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CN106859643A
CN106859643A CN201710103591.9A CN201710103591A CN106859643A CN 106859643 A CN106859643 A CN 106859643A CN 201710103591 A CN201710103591 A CN 201710103591A CN 106859643 A CN106859643 A CN 106859643A
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brain
games
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brain electricity
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陆帆
陆一帆
王琳
闫会萍
李飞霏
范越
王娟娟
曹汀汀
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Beijing Sport University
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    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/24Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316Modalities, i.e. specific diagnostic methods
    • A61B5/369Electroencephalography [EEG]
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/0002Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
    • A61B5/0004Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by the type of physiological signal transmitted
    • A61B5/0006ECG or EEG signals
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/24Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316Modalities, i.e. specific diagnostic methods
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/68Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
    • A61B5/6801Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
    • A61B5/6802Sensor mounted on worn items
    • A61B5/6803Head-worn items, e.g. helmets, masks, headphones or goggles
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/72Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7203Signal processing specially adapted for physiological signals or for diagnostic purposes for noise prevention, reduction or removal
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/72Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7225Details of analog processing, e.g. isolation amplifier, gain or sensitivity adjustment, filtering, baseline or drift compensation
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/72Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7235Details of waveform analysis
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/72Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7235Details of waveform analysis
    • A61B5/725Details of waveform analysis using specific filters therefor, e.g. Kalman or adaptive filters
    • AHUMAN NECESSITIES
    • A63SPORTS; GAMES; AMUSEMENTS
    • A63BAPPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B71/00Games or sports accessories not covered in groups A63B1/00 - A63B69/00
    • A63B71/06Indicating or scoring devices for games or players, or for other sports activities
    • A63B71/0619Displays, user interfaces and indicating devices, specially adapted for sport equipment, e.g. display mounted on treadmills
    • A63B71/0622Visual, audio or audio-visual systems for entertaining, instructing or motivating the user
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B2503/00Evaluating a particular growth phase or type of persons or animals
    • A61B2503/10Athletes
    • AHUMAN NECESSITIES
    • A63SPORTS; GAMES; AMUSEMENTS
    • A63BAPPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B2230/00Measuring physiological parameters of the user
    • A63B2230/08Measuring physiological parameters of the user other bio-electrical signals
    • A63B2230/10Measuring physiological parameters of the user other bio-electrical signals electroencephalographic signals

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Abstract

The invention discloses a kind of system of study movement person's pre-games brain electricity feature and sports achievement correlation, described system is pre-processed by the brain wave information that message processing module collects information acquisition module, information storage module is passed to by way of being wirelessly transferred, the data that data in information storage module and athletes ' performance input module are input into are carried out comprehensive analysis processing by data analysis module, and analysis result is shown eventually through display module.Study system of the invention, manipulation is simple, sensitivity is high, using wireless transmission method, measurement place is unrestricted, reduces the interference of outer bound pair research process as far as possible during acquiring brain waves, it is ensured that the reliability of Study system result, in the training that can be used for before raising athlete's, with good practical value.

Description

A kind of system of study movement person's pre-games brain electricity feature and sports achievement correlation
Technical field
The present invention relates to brain electrical testing and athletic training technical field, specifically belong to a kind of study movement person's pre-games brain The system of electric feature and sports achievement correlation.
Background technology
Brain wave be brain in activity, what the postsynaptic potential that a large amount of neurons synchronously occur was formed after summation, morning 1875 Britain scientific worker cartoon (R.Caton) rabbit and monkey cerebral cortex surface recording to a kind of electric wave, Unrelated with heartbeat, breathing, nineteen twenty-nine, Bai Geer is engaged in EEG research, and identical current potential is recorded on the complete skull of the mankind Activity, and these activities are confirmed from Cortical Neurons, it is relevant with age, the stimulation experienced and physiological change, And this electric wave is named as brain wave, widely, it has economic, peace to the application clinically of present brain wave Entirely, extensive characteristic, is skillfully applied to cerebral disease, apoplexy, stupor of sufferer etc. and follows the trail of inspection.
According to brain wave frequency, the difference of amplitude, brain wave can be divided into 4 kinds of basic waveforms:α ripples, β ripples, θ ripples, δ Ripple, frequency can react the speed of brain region metabolism, be the important parameter of brain development and aging, 8-13 times/s of α wave frequency rate ,s, Amplitude 20-100uV, occurs in peace and quiet, and 14-30 times/s of β wave frequency rate ,s, amplitude 5-20uV, wave amplitude increases, and excitability increases, feelings The nervous then β ripples of thread increase, and θ wave frequency rate ,s 4-7 times/s, amplitude 100-150uV, are the embodiments of nervous system holddown, θ when tired Ripple increases, δ wave frequency rate ,s 1-3.5 times/s, amplitude 20-200uV, the slow wave occurred when being sleep.By data above as can be seen that brain Can also be combined for the research of brain wave and the psychological research of people, to probe into by electric wave with the psychological condition of direct reaction people The psychology fluctuation of people.
In sports, the central nervous system of sportsman to control motion tracheae complete it is complicated, accurate, coordinate, At a high speed, lasting action plays the role of critically important, the movable activity that can react Cortical Neurons of brain wave, domestic It is outer it is many learn by analyzing sportsman in sports midbrain Electrical change, find the basic law of its electrical activity of brain, Ke Yizuo For science improves the important method for preparing for war training athlete level.
The content of the invention
Present invention solves the technical problem that being that to propose a kind of study movement person's pre-games brain electricity feature related to sports achievement The system of property, by gathering eeg signal, to eeg signal filtering, amplification, modulus transformation, feature extraction, sportsman into Achievement input, model analysis realize, with simple to operate, the advantages of data are reliable, can assist to adjust the psychological shape of sportsman State, in the training that can be used for before raising athlete's.
Technical scheme is as follows:
The system of a kind of study movement person's pre-games brain electricity feature and sports achievement correlation, described system includes:Information Acquisition module, signal processing module, information storage module, athletes ' performance input module, data analysis module, display module, Described information acquisition module includes player information input block, acquiring brain waves unit, described message processing module bag Brain wave processing unit, wireless transmitting unit are included, described information storage module includes reception of wireless signals unit, digital information Processing unit, data storage element, described data analysis module are that digital information process unit is obtained by related software Result and athletes ' performance carry out correlation analysis, described display module is LCDs, described information processing mould The brain wave information that block collects information acquisition module is pre-processed, and information Store is passed to by way of being wirelessly transferred Module, described data analysis module enters the data that the data in information storage module and athletes ' performance input module are input into Row comprehensive analysis processing, described display module display analysis result.
Further, described brain wave processing unit includes pre-amplification circuit, high-pass filter, Phototube Coupling electricity Road, low pass filter, second level amplifying circuit, A/D change-over circuits, and with this sequentially by previous output end and latter input The mode of connection is connected with each other, and described pre-amplification circuit, using AD620 amplifiers, is put using three fortune differential amplifier circuits Big multiple is 5-10 times, and described high-pass filter, low pass filter uses Butterworth filter, is filtered by wave filter 0.05-100HZ disturbs ripple, described photoelectric isolating circuit to use nonlinear optical charge coupled device, and electricity is amplified in the described second level Road is main amplifying circuit, can use common AD OP07 amplifiers, and multiplication factor up to 1000 times, adopt by described A/D change-over circuits Gradually compare type converter with 12, described brain wave processing unit be filtered to receiving simulation eeg signal, Amplify and be converted to digital circuit, the external metal shielding box of described amplifying circuit.
Further, described metal shielding box can be the interference of isolation external electromagnetic ripple well, it is ensured that brain wave Respectively there is the cuboid box of an aperture accuracy of signal, described metal shielding box two sides, and two other side is copper Heat sink, remainder is aluminum structure, and copper heat sink inner side connects a heat-conducting layer by wire, and described wire is Copper wire, diameter 0.2-0.5mm, described heat-conducting layer is connected with amplifying circuit contact, and described heat-conducting layer is by layer of silica gel and leads Hot material is constituted, and described Heat Conduction Material is the copper powder for having high heat conductance, and described layer of silica gel thickness is 0.2-0.5mm, heat conduction Material provides sinking path in the inside of layer of silica gel, heat sink for circuit.
Further, described digital information processing unit is α ripples, the β to eeg signal using time-frequency analysis technology Ripple, θ ripples, δ ripples are extracted, and are expressed in the time series mode of energy, are then normalized and are obtained energy percentage.
Further, described data analysis module is to described α ripples, β ripples, θ wave energies percentage and athlete's Achievement carries out multiple linear regression analysis:
Assuming that there is linear relationship with brain wave component in sports achievement:
Y=b0+b1Xα+b2Xβ+b3Xθ
Wherein y represents sports achievement, XαIt is α ripples, XβIt is β ripples, XθIt is θ ripples.
The estimate of regression coefficient is obtained by least square method, multiple linear regression equations are tried to achieve:
Y=B0+B1Xα+B2Xβ+B3Xθ
Then significance test is carried out to above-mentioned regression equation using variance analysis, the method for inspection is checked for F, conspicuousness water It is a to put down, and whether the regression effect for observing regression equation is notable;Then the significance test of regression coefficient is carried out, the method for inspection is t Inspection, significance is a=0.05, determine each independent variable in significance whether significantly, and carry out independent variable because The importance ranking of element.
Further, described athletes ' performance input module carries out achievement input according to athlete's result, input When accurate control sportsman name, sex, sports events, to ensure the accuracy of data.
Further, complete in the 1-3 days evenings of the described eeg signal gatherer process before athlete's, to reduce Other factors cause the interference of sportsman's excitement factor, sportsman's adjustment respiratory rate 26-28 times/min, quiet 2- before test 3min, high-quality conductive paste is evenly coated on electrode, is placed in 16 positions of tested scalp, respectively:Before symmetrical Volume point, middle volume point, central point, summit, pillow point, preceding temporo point, middle temporo point, rear temporo point.
Further, described player information input block includes name, sex, the sports events of sportsman, described Acquiring brain waves unit be a kind of wireless wearable dry electrode brain electricity cap of lightweight, described lightweight is wireless wearable dry electricity Brain electric cap in pole uses synchronous acquisition sensor, the nervous mood of the sportsman for reducing extraneous the supervising intervention of personnel and causing, and enters And the reliability of measurement result is improve, electrode uses the soft contact electrodes of AgCl, and electrode coats high-quality conductive paste during measurement, electrode Position be that standard is laid according to 1020 systems that international electroencephalology can be formulated, the eeg signal of collection is analog signal.
Further, described display module is LCDs.
The beneficial effects of the present invention are:By gathering eeg signal, eeg signal filtering, amplification, modulus are turned Become, feature extraction obtains characteristic wave α ripples, β ripples, θ ripples, post-games finally returns athletes ' performance input system using multiple linear Returning model carries out correlation analysis, makes result apparent, directly perceived, Study system of the invention, and manipulation is simple, system sensitivity Height, using wireless transmission method, measurement place is unrestricted, and reducing outer bound pair as far as possible during acquiring brain waves grinds Study carefully the interference of process, it is ensured that the reliability of Study system result, can have as the sentific training method to sportsman's pre-games Good practical value.
Brief description of the drawings
Fig. 1 is the working-flow of a kind of study movement person's pre-games brain electricity feature of the invention and sports achievement correlation Schematic diagram.
Specific embodiment
Now knot specific embodiment is further elaborated with to the present invention.
As shown in figure 1, the system of a kind of study movement person's pre-games brain electricity feature and sports achievement correlation, described system Including:Information acquisition module, signal processing module, information storage module, athletes ' performance input module, data analysis module, Display module, described information acquisition module includes player information input block, acquiring brain waves unit, at described information Reason module includes brain wave processing unit, wireless transmitting unit, described information storage module include reception of wireless signals unit, Digital information processing unit, data storage element, described data analysis module are to digital information processing by related software The result and athletes ' performance that unit is obtained carry out correlation analysis, and described display module is LCDs, described letter The brain wave information that breath processing module collects information acquisition module is pre-processed, and is passed to by way of being wirelessly transferred Be input into for data in information storage module and athletes ' performance input module by information storage module, described data analysis module Data carry out comprehensive analysis processing, described display module display analysis result.
Wherein, described brain wave processing unit includes pre-amplification circuit, high-pass filter, photoelectric isolating circuit, low Bandpass filter, second level amplifying circuit, A/D change-over circuits, and be sequentially connected with latter input by previous output end with this Mode be connected with each other, described pre-amplification circuit using three fortune differential amplifier circuits, using AD620 amplifiers, times magnification Number is 5 times, and described high-pass filter, low pass filter uses Butterworth filter, and 0.05- is filtered by wave filter 100HZ disturbs ripple, and described photoelectric isolating circuit uses nonlinear optical charge coupled device, based on described second level amplifying circuit Amplifying circuit, can use common AD OP07 amplifiers, amplify 1000 times, and described A/D change-over circuits are gradually compared using 12 Compared with type converter, described brain wave processing unit is filtered, amplifies and is converted to receiving simulation eeg signal Digital circuit, the external metal shielding box of described amplifying circuit.Described digital information processing unit is using time frequency analysis skill Art is extracted to the α ripples of eeg signal, β ripples, θ ripples, δ ripples, is expressed in the time series mode of energy, then carries out normalizing Change treatment obtains energy percentage.Described data analysis module is to described α ripples, β ripples, θ wave energies percentage and sportsman Games results carry out multiple linear regression analysis:
Assuming that there is linear relationship with brain wave component in sports achievement:
Y=b0+b1Xα+b2Xβ+b3Xθ
Wherein y represents sports achievement, XαRepresent α ripples, XβRepresent β ripples, XθRepresent θ ripples.
The estimate of regression coefficient is obtained by least square method, multiple linear regression equations are tried to achieve:
Y=B0+B1Xα+B2Xβ+B3Xθ
Then significance test is carried out to above-mentioned regression equation using variance analysis, the method for inspection is checked for F, conspicuousness water It is a to put down, and whether the regression effect for observing regression equation is notable;Then the significance test of regression coefficient is carried out, the method for inspection is t Inspection, significance is a=0.05, determine each independent variable in significance whether significantly, and carry out independent variable because The importance ranking of element.Described athletes ' performance input module carries out achievement input according to athlete's result.Described Player information input block includes name, sex, the sports events of sportsman, and described acquiring brain waves unit is a kind of light Just the wireless wearable dry electrode brain electricity cap of type, described lightweight is wireless, and wearable dry electrode brain electricity cap is sensed using synchronous acquisition Device, the soft contact electrodes of AgCl, electrode coats high-quality conductive paste during measurement, and the eeg signal of collection is analog signal.Described Display module is LCDs.
With certain sports school swimmer as research object, 1 200 meter freestyle sportsman is randomly selected, carry out 8 ratios 1. 2. 3. 4. 5. 6. 7. 8. pre-games is tested, and match every time is numbered, in the evening before that day 9 of swimming contest:00 pair of trip Swimming sportsman carries out acquiring brain waves test, sportsman's adjustment respiratory rate 26-28 times/min, quiet 2-3min before test, will High-quality conductive paste is evenly coated on electrode, is placed in 16 positions of tested scalp, respectively:Symmetrical forehead point, in Volume point, central point, summit, pillow point, preceding temporo point, middle temporo point, rear temporo point, after acquired treatment, obtain the energy hundred of α ripples, β ripples, θ ripples Divide ratio, the relation such as table 1 of α ripples, β ripples, the energy percentage of θ ripples and sportsman's swimming time:
The relation of the α ripples of table 1, β ripples, the energy percentage of θ ripples and sportsman's swimming time
Multiple linear regression analysis are carried out to data above, regression equation is set up, and aobvious is completed to regression equation and coefficient Work property analysis, analysis result is as follows:
Anovab
A. predictive variable:(constant), VAR00003, VAR00001.
B. dependent variable:VAR00004
The equation analysis table of table 2
Coefficienta
A. dependent variable:VAR00004
The regression parameter table of table 3
As can be seen from the above results, regression equation is significant in 0.05 level, and α ripples, the coefficient of β ripples are 0.05 It is significant in level.To sum up, influence of the α ripples to athletes ' performance is maximum, and secondly, θ ripples do not have shadow to β ripples to the achievement of sportsman Ring.
Finally it should be noted that:The above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations;Although The present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those within the art that:It still may be used Modified with to the technical scheme described in previous embodiment, or equivalent is carried out to which part technical characteristic;And These modifications are replaced, and do not make the spirit and model of the essence disengaging embodiment of the present invention technical scheme of appropriate technical solution Enclose.

Claims (7)

1. the system of a kind of study movement person's pre-games brain electricity feature and sports achievement correlation, it is characterised in that described system Including:Information acquisition module, signal processing module, information storage module, athletes ' performance input module, data analysis module, Display module, described information acquisition module includes player information input block, acquiring brain waves unit, at described information Reason module includes brain wave processing unit, wireless transmitting unit, described information storage module include reception of wireless signals unit, Digital information processing unit, data storage element, described data analysis module are to digital information processing by related software The result and athletes ' performance that unit is obtained carry out correlation analysis.Described display module is LCDs, described letter The brain wave information that breath processing module collects information acquisition module is pre-processed, and is passed to by way of being wirelessly transferred Be input into for data in information storage module and athletes ' performance input module by information storage module, described data analysis module Data carry out comprehensive analysis processing, described display module display analysis result.
2. the system of a kind of study movement person's pre-games brain electricity feature as claimed in claim 1 and sports achievement correlation, its spy Levy and be, described brain wave processing unit includes pre-amplification circuit, high-pass filter, photoelectric isolating circuit, LPF Device, second level amplifying circuit, A/D change-over circuits, and with this sequentially by way of previous output end is connected with latter input It is connected with each other, using three fortune differential amplifier circuits, using AD620 amplifiers, multiplication factor is 5- to described pre-amplification circuit 10 times, described high-pass filter, low pass filter uses Butterworth filter, and 0.05-100HZ is filtered by wave filter Interference ripple, described photoelectric isolating circuit uses nonlinear optical charge coupled device, amplifies based on described second level amplifying circuit Circuit, can use common AD OP07 amplifiers, and up to 1000 times, described A/D change-over circuits use 12 gradually to multiplication factor Compare type converter, described brain wave processing unit is filtered, amplifies and changes to receiving simulation eeg signal It is digital circuit, the external metal shielding box of described amplifying circuit.
3. the system of a kind of study movement person's pre-games brain electricity feature as claimed in claim 2 and sports achievement correlation, its spy Levy and be, described digital information processing unit is that the ripple of eeg signal, ripple, ripple, ripple are carried out using time-frequency analysis technology Extract, expressed in the time series mode of energy, be then normalized and obtain energy percentage.
4. the system of a kind of study movement person's pre-games brain electricity feature as claimed in claim 1 and sports achievement correlation, its spy Levy and be, described data analysis module carries out polynary line to described ripple, ripple, wave energy percentage and athlete's achievement Property regression analysis:
Assuming that there is linear relationship with brain wave component in sports achievement:
Y=b0+b1Xα+b2Xβ+b3Xθ
Wherein y represents sports achievement, XαRepresent α ripples, XβRepresent β ripples, XθRepresent θ ripples.
The estimate of regression coefficient is obtained by least square method, multiple linear regression equations are tried to achieve:
Y=B0+B1Xα+B2Xβ+B3Xθ
Then significance test is carried out to above-mentioned regression equation using variance analysis, the method for inspection is checked for F, and significance is Whether a, the regression effect for observing regression equation is notable;Then the significance test of regression coefficient is carried out, the method for inspection is examined for t Test, significance is a=0.05, determine whether each independent variable is notable in significance, and carry out independent variable factor Importance ranking.
5. the system of a kind of study movement person's pre-games brain electricity feature as claimed in claim 1 and sports achievement correlation, its spy Levy and be, described athletes ' performance input module carries out achievement input according to athlete's result.
6. the system of a kind of study movement person's pre-games brain electricity feature as claimed in claim 1 and sports achievement correlation, its spy Levying described player information input block includes name, sex, the sports events of sportsman, described acquiring brain waves unit It is a kind of wireless wearable dry electrode brain electricity cap of lightweight, described lightweight is wireless, and wearable dry electrode brain electricity cap uses synchronous Collection sensor, the soft contact electrodes of AgCl, electrode coats high-quality conductive paste during measurement, and the eeg signal of collection is simulation letter Number.
7. the system of a kind of study movement person's pre-games brain electricity feature as claimed in claim 6 and sports achievement correlation, its spy Levy and be, described display module is LCDs.
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CN107773916A (en) * 2017-11-28 2018-03-09 江苏理工学院 A kind of safe auxiliary equipment of electric magnetic bike based on brain wave
CN110314346A (en) * 2019-07-03 2019-10-11 重庆道吧网络科技有限公司 Intelligence fistfight sports series of skills and tricks in boxing, footmuff, system and method based on big data analysis
CN111467729A (en) * 2020-04-03 2020-07-31 北京市纯美炫音国际教育咨询有限公司 Rope skipping counting method based on prediction model
CN113367704A (en) * 2021-06-04 2021-09-10 智慧精灵(厦门)科技有限公司 Brain related index intelligent evaluation analysis method based on electroencephalogram data

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Application publication date: 20170620