CN110123314A - Judge that brain is absorbed in the method for relaxation state based on EEG signals - Google Patents
Judge that brain is absorbed in the method for relaxation state based on EEG signals Download PDFInfo
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Abstract
The present invention relates to judging that brain is absorbed in the method for relaxation state based on EEG signals, comprising steps of acquisition EEG signals；EEG signals are analyzed and processed, the E.E.G of multiple and different frequency ranges is obtained, calculate the focus and allowance of brain；The discrimination model for being absorbed in state and relaxation state is established, extracts characteristic value D using discrimination model；Characteristic value D is compared with threshold value, is judged as absorbed state if D>threshold value, if D<threshold value is judged as relaxation state.This method carries out forehead EEG signal to analyze focus and allowance, is absorbed in by analytical judgment to focus and allowance and relaxation state, can effectively auxiliary medical equipment and daily wearable device monitor brain states.
Description
Technical field
The present invention relates to EEG Processing technologies, and in particular to judges that brain is absorbed in relaxation state based on EEG signals
Method.
Background technique
The research early stage of brain-computer interface (BCI) technology is for military purposes, it is intended that complete by consciousness remote control robot
At the tasks such as fight, after gradually develop in terms of medical treatment, to pass through the interdisciplines such as Neuscience, signal detection, machine learning
The method for curing dyskinesia person is found in research, and in show business, especially virtual manipulation field receives an acclaim.
Brain power technology has been widely used for medicine, nerve channel as basic subject important in brain science research at present
The research fields such as Neo-Confucianism, psychology, initiative rehabilitation, brain-computer interface.The research of brain power technology is mainly used in medical field, such as insane
Epilepsy, evoked brain potential and psychology, psychiatry etc..Existing scholar studies in terms of healing robot, by pair
Brain electricity is stimulated the rehabilitation to promote sufferer.In addition, brain power technology can also be combined with virtual reality, the field of detecting a lie.
Summary of the invention
In order to solve the problems in the existing technology, the present invention, which is provided, judge that brain is absorbed based on EEG signals and loosens shape
The method of state, this method model focus and allowance, and extract characteristic value, analyze brain and are in and are absorbed in or put
Loose state, can effective auxiliary medical equipment and daily wearable device monitoring brain states.
Technical proposal that the invention solves the above-mentioned problems is as follows: judging that brain is absorbed in the side of relaxation state based on EEG signals
Method, comprising the following steps:
S1, acquisition EEG signals；
S2, EEG signals are analyzed and processed, obtain the E.E.G of multiple and different frequency ranges, calculate the focus of brain and put
Looseness；
S3, the discrimination model for being absorbed in state and relaxation state is established, extracts characteristic value D using discrimination model；
S4, characteristic value D is compared with threshold value, is judged as absorbed state if D>threshold value, if D<threshold value is judged as
Relaxation state.
In a preferred embodiment, focus is set in step S3 as x, allowance y, characteristic value D establish discrimination model
Are as follows:
Discrimination model is smoothed.
In a preferred embodiment, the E.E.G of tetra- different frequency ranges of α, β, θ, δ is obtained in step S2, analysis α, β, θ, δ is each
The E.E.G power of a wave band carries out the analysis of focus and allowance, the function of the α wave generated when enlivening with brain activity and β wave
Examination criteria of the rate density as focus, detection mark of the power density of δ wave and θ wave under relaxation state as allowance
It is quasi-.
Compared with prior art, the present invention achieves following technical effect:
1, further analyzed on the basis of original focus and allowance algorithm, according to the focus of EEG signals and
Allowance analyzes brain and is in and is absorbed in or relaxation state, can effectively auxiliary medical equipment and the monitoring of daily wearable device it is big
Brain state.
2, brain focus and allowance are modeled, is calculated using characteristic value D；Since characteristic value D is good
The relationship being inversely proportional between focus and allowance is utilized, two indices are integrated, can provide and refer to than independent one
More information content are marked, the absorbed relaxation state implied in focus and allowance is shown.
3, the present invention is different from traditional pure software and pure hardware processing method, but hardware is used mutually to tie with software processing
The mode of conjunction, early period complete eeg signal acquisition and transmission using hardware, and the later period to absorbed state and is loosened using software algorithm
State is differentiated that the later period differentiates that the method compared to pure hardware has saved cost using software algorithm, and early period is pre- using hardware
The method of processing improves efficiency relative to the method for pure software processes.
Detailed description of the invention
Fig. 1 is the overall flow figure of state judgement of the present invention；
Fig. 2 is eeg signal acquisition and processing block diagram of the invention；
Fig. 3 is the iterative process flow figure of focus, allowance；
Fig. 4 is to be absorbed in state, the decision flow chart of relaxation state；
Fig. 5 is the entire flow figure of a preferred embodiment of the invention.
Specific embodiment
Further detailed description is done to the present invention with reference to the accompanying drawings and examples, but embodiments of the present invention are unlimited
In this.
The present invention is acquired processing to EEG signals using EEG module；The signal of acquisition is transmitted to hand by bluetooth
Generator terminal；The E.E.G of tetra- frequency ranges of α, β, θ, δ is obtained using classic power spectrum method；By the E.E.G of four frequency ranges determine focus x with
Allowance y；Focus and allowance are modeled, characteristic value D is extracted, characteristic value D is compared with threshold size, is sentenced
Determine the absorbed state of brain.As shown in Figure 1, specifically comprising the following steps:
S1, acquisition EEG signals
As shown in Fig. 2, brain wave acquisition sensor uses flexible electrode, brain electricity preprocessing module uses TGAM module；It uses
The mode and TGAM module of the double leads of flexible electrode complete eeg signal acquisition, then are set by bluetooth adapted transmission to intelligent external
Standby (the present embodiment is mobile phone terminal).Specifically, reference electrode is placed at hard of hearing place, places flexible electrode at forehead and acquires 1-50HZ
EEG signals, be then transmit to TGAM module EEG signals are denoised, are amplified, A/D conversion etc. pretreatment, export it is original
Brain wave data and brain electrical characteristic values, and pass through bluetooth adapted transmission to mobile phone terminal.Reference electrode, EEG signals are placed at hard of hearing place
Noise jamming it is small, signal is purer.
S2, focus and allowance are calculated
Using the app on mobile phone terminal as analysis handling implement, EEG signals are analyzed and processed, obtain α, β, θ, δ
The E.E.G of four different frequency ranges, and further calculate the focus and allowance of brain.
Power density time spectrum is calculated on the app of mobile phone terminal, uses classic power density spectrum formula:
Wherein, ω is the frequency range of power spectral density, and N is the number of sampling points of the frequency range, XNFor the frequency after Fourier transformation
Spectrum, GpFor power spectrum.
The E.E.G power of each wave band of α, β, θ, δ is analyzed, carries out the analysis of focus and allowance, and living with brain activity
Examination criteria of the power density of the α wave (8-13HZ) that is generated when jump and β wave (> 14HZ) as focus, the δ under relaxation state
Examination criteria of the power density of wave (0.5-3HZ) and θ wave (4-8HZ) as allowance, finally removes focus and allowance
Between correlation, judge the state of brain.This method advantage is that calculation amount is small, can obtain brain electric information in real time.
In the present embodiment, according to based on θ, δ wave band E.E.G enhancing when loosening, the feature of α, β E.E.G enhancing when being absorbed in will
The sum of the δ wave of 0.5-8HZ and the power of θ wave ∑0.5HZ < f < 8HZThe ratio of G (j ω) and general power is multiplied by 100 as allowance
Value Y, by the sum of the power of the α wave of f > 8HZ and β wave ∑F > 8HZThe ratio of G (j ω) and in total rate is multiplied by 100 as focus
Value X, i.e.,
S3, the discrimination model for being absorbed in state and relaxation state is established
If focus is x, allowance y, characteristic value D establish discrimination model are as follows:
Discrimination model is smoothed, when n=1, D [- 1]=D [0]；When n ≠ 1:
D [n]=max { D [n], D [n-1] } * D [n], or
D [n]=max { D [n], D [n-1] }+D [n]
When time of measuring is shorter smoothly more preferably using multiplication, when time of measuring is longer using addition smoothly more preferably.
Characteristic value D is smoothed, the fluctuation of EEG signals can be eliminated, smoothing processing can carry out successive ignition,
So that absorbed state and the D value separating degree under relaxation state are bigger, the process of processing is as shown in Figure 3.Smoothing processing must loosen shape
Characteristic value D under state and absorbed state more effectively reflects that brain is absorbed in relaxation state, helps to distinguish different states.
The present embodiment establishes basic modelFeature is extracted, is calculated using D as characteristic value, then
Characteristic value D is subjected to smoothing computation, to eliminate shake and the noise of characteristic value D.Since focus is utilized in characteristic value D well
The relationship being inversely proportional between allowance, two indices are integrated, and can provide information more more than an independent index
Amount shows the absorbed relaxation state implied in focus and allowance.
S4, judge to be absorbed in relaxation state
The characteristic value D of discrimination model is compared with threshold value, is judged as absorbed state if D>threshold value, if D<threshold value
It is judged as relaxation state, as shown in Figure 4.The absorbed mark with relaxation state can be adjusted to change by adjusting the mode of threshold value
Standard, to be suitable for different detection requirements.
The advantage of inventive algorithm is easily to extract in complicated EEG signals by simple operation
Information greatly reduced operand compared with traditional brain electricity analytical method, it is possible to which real-time display goes out to be absorbed in state or puts
Loose state.
The present embodiment fixed flexible electrode at forehead, using ear clip in hard of hearing place's fixed reference electrode, electrode connection
TGAM module, TGAM module are connected bluetooth, are sent data in smart phone by bluetooth, counted using smart phone
It calculates.Data are pre-processed using app in mobile phone, analyze instant focus and allowance, by focus with loosen
Degree is put into discrimination model calculating characteristic value D, carries out after recycling three times to characteristic value D, output characteristic value D and and threshold value comparison,
Judge absorbed and relaxation state, as shown in Figure 5.
In the present embodiment, in order to enable the app of mobile phone terminal and user to have good interaction, app meets claimed below: having
Good user interface, real-time display bluetooth connection situation prompt the user's quality of connection, brain wave data of collection is visual
Change, real-time display focus and allowance, real-time display user current state, be able to record preservation User Status.It needs to make
Used time first clicks on connection BlueTooth button, and bluetooth can start to connect, and the signal quality column meeting instant playback of top goes out current letter
Number quality clicks start button after bluetooth connection success and then starts to work, clicks stop button and then stop working；It starts to work
Focus is shown with allowance in corresponding column left later；Current scoring is Average, has clock aobvious among interactive interface
Show monitoring period, be absorbed in degree column will instant playback be currently absorbed/state of diverting one's attention out.It is broadcast in addition, app has also additionally been expanded
It puts the music on and alarm functionality.
The method of the present invention is further analyzed on the basis of original focus and allowance algorithm, according to EEG signals
Focus and allowance analyze brain and are in absorbed or relaxation state；And by algorithm devise an app provide a user it is good
Good interaction, the brain states monitoring that can be widely used in medical field, can help user to monitor itself study in real time
Working condition.
Specific embodiments of the present invention are described above.It is to be appreciated that the invention is not limited to above-mentioned
Particular implementation, it may occur to persons skilled in the art that various deformations or amendments, but in the premise for not departing from disclosure spirit
Under, all modifications and replacement made are fallen in the disclosure protection scope that appended claims define.
Claims (10)
1. judging that brain is absorbed in the method for relaxation state based on EEG signals, which comprises the following steps:
S1, acquisition EEG signals；
S2, EEG signals are analyzed and processed, obtain the E.E.G of multiple and different frequency ranges, calculate the focus of brain and loosened
Degree；
S3, the discrimination model for being absorbed in state and relaxation state is established, extracts characteristic value D using discrimination model；
S4, characteristic value D is compared with threshold value, is judged as absorbed state if D>threshold value, loosens if D<threshold value is judged as
State.
2. the method according to claim 1, wherein in step S3, if focus is x, allowance y, feature
Value is D, establishes discrimination model are as follows:
Discrimination model is smoothed.
3. the method according to claim 1, wherein obtaining the brain of tetra- different frequency ranges of α, β, θ, δ in step S2
Wave analyzes the E.E.G power of each wave band of α, β, θ, δ, carries out the analysis of focus and allowance, production when enlivening with brain activity
Examination criteria of the power density of raw α wave and β wave as focus, the power density conduct of δ wave and θ wave under relaxation state
The examination criteria of allowance.
4. according to the method described in claim 3, it is characterized in that, each to analyze α, β, θ, δ by calculating power density spectrum
The E.E.G power of wave band.
5. according to the method described in claim 4, it is characterized in that, power density spectrum uses classic power density spectrum formula meter
It calculates:
Wherein, ω is the frequency range of power spectral density, and N is the number of sampling points of the frequency range, XNFor the frequency spectrum after Fourier transformation, Gp
For power spectrum.
6. according to the method described in claim 3, it is characterized in that, by the sum of the power of the δ wave of 0.5-8HZ and θ wave
∑0.5Hz < f < 8HZG (j ω) and the ratio of general power are multiplied by the 100 value Y as allowance, by the power of the α wave of f > 8HZ and β wave
The sum of ∑F > 8HZThe ratio of G (j ω) and in total rate is multiplied by the 100 value X as focus, i.e.,
7. the method according to claim 1, wherein in step S1, reference electrode is placed at hard of hearing place, at forehead
Place the EEG signals of flexible electrode acquisition 1-50HZ.
8. the method according to claim 1, wherein EEG signals collected are transmitted to TGAM in step S1
Module is pre-processed.
9. according to the method described in claim 8, it is characterized in that, the pretreatment includes denoising, amplification and A/D conversion.
10. according to the method described in claim 2, it is characterized in that, being smoothed to discrimination model are as follows:
When n=1, D [- 1]=D [0]；
When n ≠ 1, D [n]=max { D [n], D [n-1] } * D [n] or D [n]=max { D [n], D [n-1] }+D [n].
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| CN112515688A (en) * | 2019-08-29 | 2021-03-19 | 佳纶生技股份有限公司 | Automatic attention detecting method and system |
| CN112716506A (en) * | 2021-01-15 | 2021-04-30 | 京东数科海益信息科技有限公司 | Signal processing method and device, electronic equipment and storage medium |
| CN113080998A (en) * | 2021-03-16 | 2021-07-09 | 北京交通大学 | Electroencephalogram-based concentration state grade assessment method and system |
| CN113679386A (en) * | 2021-08-13 | 2021-11-23 | 北京脑陆科技有限公司 | Method, device, terminal and medium for recognizing attention |
| CN113729731A (en) * | 2021-09-06 | 2021-12-03 | 上海觉觉健康科技有限公司 | System and method for recognizing brain consciousness state based on electroencephalogram signals |
| CN115064022A (en) * | 2022-03-25 | 2022-09-16 | 深圳尼古拉能源科技有限公司 | Enhanced perception experience platform and use method thereof |
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| CN113729731A (en) * | 2021-09-06 | 2021-12-03 | 上海觉觉健康科技有限公司 | System and method for recognizing brain consciousness state based on electroencephalogram signals |
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| CN115399771A (en) * | 2022-08-24 | 2022-11-29 | 上海唯师网络科技有限公司 | Novel electroencephalogram signal-based method and system for detecting concentration degree of personnel |
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| CN116236211B (en) * | 2023-03-10 | 2024-02-13 | 北京视友科技有限责任公司 | Electroencephalogram feedback training system and method based on multipoint data distribution |
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| CN117158973A (en) * | 2023-11-04 | 2023-12-05 | 北京视友科技有限责任公司 | Attention stability evaluation method, system, device and storage medium |
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