CN106693145A - Brain wave feedback training method and system - Google Patents
Brain wave feedback training method and system Download PDFInfo
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- CN106693145A CN106693145A CN201611183213.8A CN201611183213A CN106693145A CN 106693145 A CN106693145 A CN 106693145A CN 201611183213 A CN201611183213 A CN 201611183213A CN 106693145 A CN106693145 A CN 106693145A
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- A61B5/375—Electroencephalography [EEG] using biofeedback
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Abstract
The invention discloses a brain wave feedback training method and system. The brain wave feedback training method includes: acquiring real-time brain wave signals of a user; extracting brain wave features of a to-be-trained brain wave band from the brain wave signals acquired at that time; if the brain wave features extracted at that time do not meet preset training stop conditions, updating brain wave stimulation signals; performing brain wave training on the user on the basis of the brain wave stimulation signals after being updated; returning to execute the step of acquiring the real-time brain wave signals of the user and subsequent steps until the brain wave features extracted at that time meet the training stop conditions. The brain wave feedback training system comprises a brain wave signal acquiring module, a brain wave feature extracting module, a brain wave stimulation signal updating module, a signal outputting module and a training stop module. By the brain wave feedback training method and system, the user can realize brain wave feedback training by himself or herself without the assistance of others, so that efficiency is higher, and automation and intelligentization of brain wave feedback training are realized.
Description
Technical field
The present invention relates to psychology biofeedback technology field, and in particular to a kind of brainwave feedback training method and system.
Background technology
Modern medicine shows, the notice level of people is adjusted by nervous system, brain wave of people often with he
The index such as notice concentration degree, allowance, fatigue strength have more close contact.And the brain that eeg signal is then people exists
The external manifestation of neuroelectricity during the activity of carrying out, as a rule, people in specific thinking activities and during affective state brain cell with
The activity intensity of nerve has significant difference with activity pattern with the eeg signal for showing outside, by EEG
(EEG, Electroencephalography) this undamaged brain wave detection means can be carried out to the EEG signals of people
Record, extracts and analyzes.
Now, some professional persons (such as shrink etc.), can judge his note according to the brain wave signal of trainee
Meaning power concentration degree, allowance or sleep quality etc., and trainee is targetedly trained when there is demand, by changing
The brain wave signal of trainee, improves other relevant parameters such as trainee's notice concentration degree, allowance or sleep quality.But,
This training method need to be carried out under the assistance of professional person, not enough automation and intellectuality, cause training effectiveness relatively low.
The content of the invention
The embodiment of the present invention provides a kind of brainwave feedback training method and system, it is intended to provide the user automation, intelligence
The efficient brainwave feedback training changed.
A kind of first aspect of the embodiment of the present invention, there is provided brainwave feedback training method, the brainwave feedback training method
Including：
Obtain the real-time brain wave signal of user；
The characteristics of EEG of E.E.G wave band to be trained is extracted from when time brain wave signal of acquisition；
If when time characteristics of EEG of extraction is unsatisfactory for default training stop condition,：Update E.E.G stimulus signal；
E.E.G training is carried out to the user based on the E.E.G stimulus signal after renewal；
The step of performing acquisition user's real-time brain wave signal and subsequent step are returned to, until when the brain for time extracting
Wave characteristic meets the training stop condition.
A kind of second aspect of the embodiment of the present invention, there is provided brainwave feedback training system, the brainwave feedback training system
Including：
Brain wave signal acquisition module, for obtaining the real-time brain wave signal of user；
Characteristics of EEG extraction module, treats for being extracted from brain wave signal of the brain wave signal acquisition module when secondary acquisition
Train the characteristics of EEG of E.E.G wave band；
E.E.G stimulus signal update module, is discontented with for working as time characteristics of EEG of extraction when the characteristics of EEG extraction module
During sufficient default training stop condition, E.E.G stimulus signal is updated；
Signal output module, for based on the E.E.G stimulus signal update module update after E.E.G stimulus signal to institute
Stating user carries out E.E.G training；
Training terminate module, the training is met for working as time characteristics of EEG of extraction when the characteristics of EEG extraction module
During stop condition, terminate this training.
Therefore, in embodiments of the present invention, the real-time brain wave signal of user is obtained first, and from when time brain of acquisition
The characteristics of EEG of E.E.G wave band to be trained is extracted in ripple signal, if stopping when time characteristics of EEG of extraction is unsatisfactory for default training
Condition, then update E.E.G stimulus signal, and carries out E.E.G training to the user based on the E.E.G stimulus signal after renewal, afterwards
The step of performing acquisition user's real-time brain wave signal and subsequent step are returned to, until when the characteristics of EEG for time extracting is expired
The foot training stop condition.It is anti-that present invention implementation causes that user can need not voluntarily carry out E.E.G by other people assistance
Feedback training, and enter Mobile state renewal to E.E.G stimulus signal in the training process, it is in hgher efficiency, realize brainwave feedback training
Automation and intellectuality.
Brief description of the drawings
Technical scheme in order to illustrate more clearly the embodiments of the present invention, below will be to that will make needed for embodiment description
Accompanying drawing is briefly described, it should be apparent that, drawings in the following description are only some embodiments of the present invention, for
For those of ordinary skill in the art, without having to pay creative labor, it can also be obtained according to these accompanying drawings
His accompanying drawing.
Fig. 1 is that brainwave feedback training method provided in an embodiment of the present invention realizes flow chart；
Fig. 2 is the structured flowchart of brainwave feedback training system provided in an embodiment of the present invention.
Specific embodiment
To enable that goal of the invention of the invention, feature, advantage are more obvious and understandable, below in conjunction with the present invention
Accompanying drawing in embodiment, is clearly and completely described to the technical scheme in the embodiment of the present invention, it is clear that described reality
It is only a part of embodiment of the invention to apply example, and not all embodiments.Based on the embodiment in the present invention, the common skill in this area
The every other embodiment that art personnel are obtained under the premise of creative work is not made, belongs to the model of present invention protection
Enclose.
Realization of the invention is described in detail below in conjunction with specific embodiment：
Embodiment one
Fig. 1 shows that the brainwave feedback training method that the embodiment of the present invention one is provided realizes flow, and details are as follows：
In step S101, the real-time brain wave signal of user is obtained.
In embodiments of the present invention, user can be input into the purpose of this feedback training, brain according to the concrete condition of itself
After ripple feedback training system gets the feedback training purpose information of user input, according to the purpose of user, matching is treated accordingly
Training E.E.G wave band.If for example, the purpose that user carries out this feedback training is lifting notice, beta wave bands are defined as
E.E.G wave band to be trained；If purpose is reinforcing sleep, E.E.G wave band to be trained will be defined as by alpha ripples at a slow speed；If purpose is
Enhancing is clear-headed, then quick alpha wave bands and theta wave bands are defined as into E.E.G wave band to be trained；If purpose is lifting memory,
Gamma wave bands are then defined as E.E.G wave band to be trained.Certainly, not only there is this due to E.E.G wave band several, when user's
When being input into other types of training goal, it is also possible to match other corresponding E.E.G wave bands, do not repeated herein.
Then, brainwave feedback training system can obtain equipment using E.E.G, and user is obtained within the default time of undergoing training
Real-time original brain wave signal, then carries out preliminary treatment to the original brain wave signal for getting, and gets rid of original brain wave signal
Clutter with interference after, obtain user E.E.G wave band to be trained brain wave signal.Wherein, the original E.E.G letter of user is being obtained
Number when, E.E.G obtain equipment generally need contacted with skin of head, its specific physical aspect can be netted, hat shape, banding
Or be adapted to wear the other shapes for being fixed on head, it is not construed as limiting herein.And when user's brain wave signal is obtained, can not
Port number to signal acquisition is defined, you can be single channel obtain signal, or multiple channel combined effects.
After getting the original brain wave signal of user, signal transacting is carried out to original brain wave signal, the means of signal transacting are included but not
Be limited to it is following more than one：Time is superimposed, principal component analysis (Principal Component Analysis, PCA), signal mistake
Filter and notch filter.Wherein, the purpose of time superposition is to remove random disturbances；The purpose of principal component analysis is to amplify
Main brain wave signal, filtering interference；Signal filtering includes LPF, high-pass filtering and bandpass filtering, its purpose is to put
Big a certain independent frequency range brain wave signal, filters out irrelevant signal part；The purpose of notch filter is to get rid of stronger power frequency letter
Number interference, in China, power frequency component is 50 hertz to 60 hertz.After it have passed through above-mentioned preliminary signals treatment, can obtain
Stablize relatively and clear pure signal.
In step s 102, the characteristics of EEG of E.E.G wave band to be trained is extracted from when time brain wave signal of acquisition.
In embodiments of the present invention, due in above-mentioned steps S101 when the secondary brain wave signal for getting is except including waiting to train
Outside E.E.G wave band, may also include other E.E.G wave bands, thus, in step s 102 just for brain wave signal in wait instruct
Practicing E.E.G wave band carries out signature analysis.It is alternatively possible to using default mathematical tool brain wave signal is carried out signal analysis and
Conversion, including but not limited to it is following more than one：Fourier transformation, wavelet transformation, Hilbert transform, space filtering
(Common Spatial Patterns, CSP), principal component analysis, independent component analysis (Independent Component
Correlation Algorithm, ICA).Wherein, Fourier transformation is its mesh in order to time-domain signal is converted into frequency-region signal
To carry out E.E.G energy spectrometer；The purpose of wavelet transformation is similar with Fourier transformation, and the result precision that it is obtained is higher but counts
Calculate time-consuming longer；The purpose of Hilbert transform is to obtain signal intensity feature；Space filtering is to amplify unlike signal area
Between difference, the interval nuance of convenient classification unlike signal；Principal component analysis and independent component analysis are in step
Obtain brain wave signal in S101 just uses when being and leading signal more, the purpose is to extract the major parts led in signal, letter more
Change amount of calculation when the follow-up brain wave signal for treating training E.E.G wave band is calculated, but independent component analysis amount of calculation and master
Compared to larger, correspondingly, the result precision that it is obtained is also higher for the amount of calculation of constituent analysis.
In step s 103, if working as time characteristics of EEG of extraction is unsatisfactory for default training stop condition,：Update E.E.G
Stimulus signal.
In embodiments of the present invention, according to the purpose of above-mentioned this feedback training, there are corresponding training stop condition.
If when time characteristics of EEG of extraction is unsatisfactory for default training stop condition, being updated to E.E.G stimulus signal, to reach
Treating training E.E.G wave band persistently strengthens the effect of training.
Alternatively, above-mentioned training stop condition is specially：The power spectral density value of characteristics of EEG is in default target power
In spectrum density is interval；The renewal E.E.G stimulus signal is specially：E.E.G stimulus signal is dynamically updated with default generation patterns
Parameter.
Wherein, when when time power spectral density value of the characteristics of EEG of extraction is in default target power spectral density is interval
When, then it is assumed that in this training, the E.E.G stimulus signal for exporting before has reached preferably training effect, without being carried out to it
Update；When the power spectral density value of the characteristics of EEG when secondary extraction is not in default target power spectral density interval, then
Think in this training, the E.E.G stimulus signal and the stimulus signal of non-optimal for exporting before to it, it is necessary to be updated.Its
In, default generation patterns are included but is not limited to：Sample contrastive pattern, successively scan pattern, synchronous enhancement mode.Above-mentioned sampling
Contrastive pattern is, by the E.E.G stimulus signal parameter of the selected predetermined number group of user in default parameter area, according to selected
Signal parameter change E.E.G stimulus signal successively, carry out E.E.G training to user, and then by E.E.G stimulus signal parameter more
It is changed to treat the optimal signal parameter of training E.E.G wave band enhancing effect；Above-mentioned successively scan pattern is, in default parameter model
In enclosing, by the selected predetermined number group E.E.G stimulus signal parameter of user, the parameter of above-mentioned E.E.G stimulus signal is selected in user
Predetermined number group parameter in make cyclic switching, to obtain composite strengthening effect；Above-mentioned synchronous enhancement mode is, while using multiple
The E.E.G stimulus signal of sum of fundamental frequencies rate is treated training E.E.G wave band and is trained.It is of course also possible to using other generation patterns to brain
Ripple stimulus signal is updated, and is not construed as limiting herein.
In a kind of application scenarios, above-mentioned E.E.G stimulus signal includes optical stimulus signal, then now, training mode is utilization
Lighting apparatus exports the light illumination mode of optical stimulus signal.Can be according to the purpose of this feedback training and E.E.G wave band to be trained
Characteristics of EEG, is lighting parameter that user updates target illumination pattern, wherein, above-mentioned lighting parameter is included but is not limited to as next
More than kind：Luminous intensity, color and flicker frequency.
In another application scenarios, above-mentioned E.E.G stimulus signal includes Sound stimulat signal, then now, training mode is profit
The acoustic pattern of Sound stimulat signal is exported with audio-frequence player device.Can be got according to the purpose of this feedback training and when secondary
E.E.G wave band to be trained characteristics of EEG, be first audio frequency parameter that user updates target voice pattern, wherein, above-mentioned audio ginseng
Number include it is following more than one：Intensity of sound, frequency, the rhythm and pace of moving things and tune.After the audio frequency parameter that have updated target voice pattern,
The audio file that searching is matched with audio frequency parameter in the audio file being locally stored；Or, it is also possible to internet is connected into, mutual
The audio file that search is matched with audio frequency parameter in networking, is not construed as limiting herein.
In step S104, E.E.G training is carried out to above-mentioned user based on the E.E.G stimulus signal after renewal.
In embodiments of the present invention, the E.E.G stimulus signal updated in step S103 will be exported, to the brain to be trained of user
Ripple wave band carries out E.E.G training.
In a kind of application scenarios, the E.E.G stimulus signal determined in step S103 includes optical stimulus signal, i.e., now true
The lighting parameter of target illumination pattern is fixed.Illumination output equipment only needs to the lighting parameter according to above-mentioned target illumination pattern
Launch respective ray of light.
In another application scenarios, the E.E.G stimulus signal determined in step S103 includes Sound stimulat signal, i.e., now
Have determined that the target audio file to be played under target voice pattern.Audio-frequence player device only needs to play above-mentioned target sound
Frequency file.
It should be noted that above two application scenarios can be individually present, it is also possible to while in the presence of.When above two should
With scene simultaneously in the presence of, as carry out the light of target illumination pattern to user using lighting apparatus and audio-frequence player device simultaneously
Stimulation and the Sound stimulat of target voice pattern.
Wherein, above-mentioned lighting apparatus and audio-frequence player device can be fixed on head part in the form of annex, for example, take
Similar glasses and the moulding of earphone, install lighting device at picture frame, when E.E.G stimulus signal includes optical stimulus signal, use
Decreased light carries out light stimulus with target illumination pattern irradiation people's eye；When E.E.G stimulus signal includes Sound stimulat signal, use
Earphone or head be placed around low-power sound-producing device play target audio file carry out sonic stimulation with to user.
Step S105, returns to the step of performing above-mentioned acquisition user real-time brain wave signal and subsequent step, until working as
The characteristics of EEG of secondary extraction meets above-mentioned training stop condition.
In the present embodiment, will during brainwave feedback is trained continuous updating E.E.G stimulus signal, until user
Just terminate this training when the characteristics of EEG satisfaction training stop condition of E.E.G wave band is trained so that training every time can be directed to
The personal considerations of user make dynamic adjustment to training condition and training time, humanized.Certainly, user can also voluntarily select
End this brainwave feedback training is selected, is not construed as limiting herein.
Alternatively, after above-mentioned steps S103, also include：
According to the type of the E.E.G stimulus signal after renewal, destined output device is determined；
E.E.G stimulus signal after renewal is wirelessly sent to when time destined output device of determination；
Above-mentioned steps S104 is embodied in：
Trigger when time destined output device of determination exports E.E.G stimulus signal after renewal, to realize to above-mentioned user's
E.E.G is trained.
Wherein, because above-mentioned E.E.G stimulus signal has polytype, so that after elder generation in step S103 according to updating
Which kind of type the type of E.E.G stimulus signal, the destined output device for determining output signal is.In embodiments of the present invention, mainly
E.E.G stimulus signal type be optical stimulus signal harmony stimulus signal, thus mainly for both types E.E.G stimulate letter
Number make an explanation.When E.E.G stimulus signal is optical stimulus signal, determine that destined output device is Intelligent illumination device；Work as E.E.G
When stimulus signal is Sound stimulat signal, determine that destined output device is intelligent audio equipment.Set above-mentioned target output is determined
After standby, the E.E.G stimulus signal after step S103 is updated in the way of wireless telecommunications is sent to destined output device.Wherein, on
The mode for stating wireless telecommunications is included but is not limited to：Bluetooth communication, Wi-Fi communications and infrared communication.By way of wireless telecommunications
Linked with destined output device, E.E.G training is carried out in more convenient mode, it is better.
Alternatively, above-mentioned brainwave feedback training method also includes：
At the end of training, power spectral density value of the E.E.G wave band to be trained before and after training is recorded respectively, and analyze
To this training result；
With reference to history training result, it is determined that the E.E.G stimulus signal optimal to user's training effect.
Wherein it is possible to when each user training is finished, record the result of this brainwave feedback training, it is possible to reference to
The detecting instrument of other many types, carries out the big data analysis to user, including but not limited on backstage：Sleeper effect point
Analysis, notice concentrates situation analysis.After analysis is finished, it is determined that to user's short-term training effect and prolonged exercise best results
E.E.G stimulus signal, wherein, short-term training effect can be the training effect after being trained within five times；Prolonged exercise effect
It can be the training effect after more than five times are trained.It is, of course, also possible to by other standards evaluate short-term training effect and
Prolonged exercise effect, is not construed as limiting herein.
Therefore, in embodiments of the present invention, the real-time brain wave signal of user is obtained first, and from when time brain of acquisition
The characteristics of EEG of E.E.G wave band to be trained is extracted in ripple signal, if stopping when time characteristics of EEG of extraction is unsatisfactory for default training
Condition, then update E.E.G stimulus signal, and carries out E.E.G training to above-mentioned user based on the E.E.G stimulus signal after renewal, afterwards
The step of performing above-mentioned acquisition user real-time brain wave signal and subsequent step are returned to, until when the characteristics of EEG for time extracting is expired
The above-mentioned training stop condition of foot.The embodiment of the present invention causes that user can need not voluntarily carry out E.E.G by other people assistance
Feedback training, can also enter Mobile state adjustment to E.E.G stimulus signal in the training process, in hgher efficiency, realize brainwave feedback instruction
Experienced automation and intellectuality.And also the smart home in the family that can link, obtain more preferable brainwave feedback training effect.
One of ordinary skill in the art will appreciate that all or part of step in realizing above-described embodiment method can be
The hardware of correlation is instructed to complete by program, corresponding program can be stored in a computer read/write memory medium,
Above-mentioned storage medium, such as ROM/RAM, disk or CD.
Embodiment two
Fig. 2 shows the concrete structure block diagram of the brainwave feedback training system that the embodiment of the present invention two is provided, for the ease of
Illustrate, illustrate only the related part of the embodiment of the present invention.The brainwave feedback training system 2 includes：Brain wave signal acquisition module
21, characteristics of EEG extraction module 22, E.E.G stimulus signal update module 23, signal output module 24 trains terminate module 25.
Wherein, brain wave signal acquisition module 21, for obtaining the real-time brain wave signal of user；
Characteristics of EEG extraction module 22, for being carried when in time brain wave signal of acquisition from above-mentioned brain wave signal acquisition module 21
Take the characteristics of EEG of E.E.G wave band to be trained；
E.E.G stimulus signal update module 23, for when above-mentioned characteristics of EEG extraction module 22 is when time characteristics of EEG of extraction
When being unsatisfactory for default training stop condition, E.E.G stimulus signal is updated；
Signal output module 24, for based on the E.E.G stimulus signal after the renewal of above-mentioned E.E.G stimulus signal update module 23
E.E.G training is carried out to above-mentioned user；
Training terminate module 25, meets above-mentioned for working as time characteristics of EEG of extraction when above-mentioned characteristics of EEG extraction module 22
During training stop condition, terminate this training.
Alternatively, E.E.G stimulus signal update module 23, specifically for when above-mentioned characteristics of EEG extraction module 22 is carried when secondary
When the power spectral density value of the characteristics of EEG for taking is not in default target power spectral density is interval, then with default generation patterns
Dynamic updates the parameter of E.E.G stimulus signal.
Alternatively, above-mentioned E.E.G stimulus signal includes：Optical stimulus signal；
Above-mentioned E.E.G stimulus signal update module 23, including：
First signal update submodule, for working as time characteristics of EEG of extraction according to above-mentioned characteristics of EEG extraction module 22,
The lighting parameter of target illumination pattern is updated, wherein, above-mentioned lighting parameter includes such as the next item down or more than two：Luminous intensity, face
Color and flicker frequency；
Above-mentioned signal output module 24, including：
First signal output submodule, for being given birth to the target illumination pattern after the renewal of above-mentioned first signal update submodule
The eye of above-mentioned user is irradiated into optical stimulus signal, to realize that the E.E.G to above-mentioned user is trained.
Alternatively, above-mentioned E.E.G stimulus signal includes：Sound stimulat signal；
Above-mentioned E.E.G stimulus signal update module 23, including：
Secondary signal updates submodule, for working as time characteristics of EEG of extraction according to above-mentioned characteristics of EEG extraction module 22,
Determine the audio frequency parameter of target voice pattern, wherein, above-mentioned audio frequency parameter includes such as the next item down or more than two：Intensity of sound,
Frequency, the rhythm and pace of moving things and tune；
Above-mentioned signal output module 24, including：
Target audio file determination sub-module, for updating the target sound after submodule updates according to above-mentioned secondary signal
The audio frequency parameter of pattern, determines target audio file；
Secondary signal output sub-module, for playing above-mentioned target audio file determination sub-module when time target sound of determination
Frequency file, to realize that the E.E.G to the E.E.G wave band to be trained of above-mentioned user is trained.
Alternatively, above-mentioned E.E.G stimulus signal includes：Optical stimulus signal and/or Sound stimulat signal；
Above-mentioned brainwave feedback training system 2, also includes：
Output equipment determining module, for the type according to the E.E.G stimulus signal after renewal, determines destined output device,
Wherein, above-mentioned destined output device includes：Intelligent illumination device and intelligent audio equipment；
Communication module, mould is determined for the E.E.G stimulus signal after renewal wirelessly to be sent to above-mentioned output equipment
Block is when time destined output device of determination；
Above-mentioned signal output module 24, specifically for triggering above-mentioned output equipment determining module when time target of determination is defeated
The E.E.G stimulus signal gone out after equipment output updates, to realize that the E.E.G to above-mentioned user is trained.
Alternatively, above-mentioned brainwave feedback training system 2, also includes：
Training analysis module, at the end of training, recording work(of the E.E.G wave band to be trained before and after training respectively
Rate spectral density value, and analysis obtains this training result；
Optimum signal determining module, for combining history training result, it is determined that the E.E.G thorn optimal to user's training effect
Energizing signal.
Therefore, in embodiments of the present invention, brainwave feedback training system obtains the real-time brain wave signal of user first,
And the characteristics of EEG of E.E.G wave band to be trained is extracted from when time brain wave signal of acquisition, if work as the secondary characteristics of EEG for extracting being discontented with
The default training stop condition of foot, then update E.E.G stimulus signal, and based on the E.E.G stimulus signal after renewal to above-mentioned user
E.E.G training is carried out, the step of performing above-mentioned acquisition user real-time brain wave signal and subsequent step is returned to afterwards, until working as
The characteristics of EEG of secondary extraction meets above-mentioned training stop condition.The embodiment of the present invention is caused need not be by other people assistance i.e.
Brainwave feedback training can be voluntarily carried out, Mobile state adjustment can also be entered to E.E.G stimulus signal in the training process, it is in hgher efficiency, it is real
The automation and intellectuality of brainwave feedback training are showed.Also, brainwave feedback training system can also link the intelligent family in family
Occupy, obtain more preferable brainwave feedback training effect.
It should be noted that in several embodiments provided herein, it should be understood that disclosed device and side
Method, can realize by another way.For example, device embodiment described above is only schematical, for example, above-mentioned
The division of unit, only a kind of division of logic function, can there is other dividing mode when actually realizing, such as multiple units
Or component can be combined or be desirably integrated into another system, or some features can be ignored, or not perform.It is another, institute
Display or the coupling each other for discussing or direct-coupling or communication connection can be by some interfaces, device or unit
INDIRECT COUPLING or communication connection, can be electrical, mechanical or other forms.
For foregoing each method embodiment, in order to simplicity is described, therefore it is all expressed as a series of combination of actions, but
It is that those skilled in the art should know, the present invention is not limited by described sequence of movement, because according to the present invention, certain
A little steps can sequentially or simultaneously be carried out using other.Secondly, those skilled in the art should also know, be retouched in specification
The embodiment stated belongs to preferred embodiment, necessary to involved action and module might not all be the present invention.
In the above-described embodiments, the description to each embodiment all emphasizes particularly on different fields, and does not have the portion described in detail in certain embodiment
Point, may refer to the associated description of other embodiments.
It is more than to a kind of preferred embodiment provided by the present invention, for those of ordinary skill in the art, according to this
The thought of inventive embodiments, will change in specific embodiments and applications, and to sum up, this specification content is not
It is interpreted as limitation of the present invention.
Claims (10)
1. a kind of brainwave feedback training method, it is characterised in that the brainwave feedback training method includes：
Obtain the real-time brain wave signal of user；
The characteristics of EEG of E.E.G wave band to be trained is extracted from when time brain wave signal of acquisition；
If when time characteristics of EEG of extraction is unsatisfactory for default training stop condition,：Update E.E.G stimulus signal；
E.E.G training is carried out to the user based on the E.E.G stimulus signal after renewal；
The step of performing acquisition user's real-time brain wave signal and subsequent step are returned to, until when the E.E.G for time extracting is special
Levy and meet the training stop condition.
2. brainwave feedback training method as claimed in claim 1, it is characterised in that the training stop condition is specially：Brain
The power spectral density value of wave characteristic is in default target power spectral density is interval；
The renewal E.E.G stimulus signal is specially：The parameter of E.E.G stimulus signal is dynamically updated with default generation patterns.
3. brainwave feedback training method as claimed in claim 1, it is characterised in that the E.E.G stimulus signal includes：Polished bard
Energizing signal；The renewal E.E.G stimulus signal, including：
According to when time characteristics of EEG of extraction, the lighting parameter of target illumination pattern is updated, wherein, the lighting parameter is included such as
The next item down or more than two：Luminous intensity, color and flicker frequency；
The E.E.G stimulus signal based on after renewal carries out E.E.G training to the user, including：
The eye of the user is irradiated with the target illumination schema creation optical stimulus signal after renewal, to realize to the user's
E.E.G is trained.
4. brainwave feedback training method as claimed in claim 1, it is characterised in that the E.E.G stimulus signal includes：Sound is pierced
Energizing signal；The renewal E.E.G stimulus signal, including：
According to when time characteristics of EEG of extraction, the audio frequency parameter of target voice pattern is updated, wherein, the audio frequency parameter is included such as
The next item down or more than two：Intensity of sound, frequency, the rhythm and pace of moving things and tune；
The E.E.G stimulus signal based on after renewal carries out E.E.G training to the user, including：
According to the audio frequency parameter of the target voice pattern after renewal, target audio file is determined；
The target audio file is played, to realize that the E.E.G to the user is trained.
5. brainwave feedback training method as claimed in claim 1, it is characterised in that the E.E.G stimulus signal includes：Polished bard
Energizing signal and/or Sound stimulat signal；After the renewal E.E.G stimulus signal, also include：
According to the type of the E.E.G stimulus signal after renewal, destined output device is determined, wherein, the destined output device bag
Include：Intelligent illumination device and intelligent audio equipment；
E.E.G stimulus signal after renewal is wirelessly sent to when time destined output device of determination；
The E.E.G stimulus signal based on after renewal carries out E.E.G training to the user, including：
Trigger when time destined output device of determination exports E.E.G stimulus signal after renewal, to realize the E.E.G to the user
Training.
6. a kind of brainwave feedback training system, it is characterised in that the brainwave feedback training system includes：
Brain wave signal acquisition module, for obtaining the real-time brain wave signal of user；
Characteristics of EEG extraction module, waits to train for being extracted from brain wave signal of the brain wave signal acquisition module when secondary acquisition
The characteristics of EEG of E.E.G wave band；
E.E.G stimulus signal update module, the characteristics of EEG for working as secondary extraction when the characteristics of EEG extraction module is unsatisfactory for pre-
If training stop condition when, update E.E.G stimulus signal；
Signal output module, for based on the E.E.G stimulus signal update module update after E.E.G stimulus signal to the use
Family carries out E.E.G training；
Training terminate module, for stopping when time characteristics of EEG of extraction meets the training when the characteristics of EEG extraction module
During condition, terminate this training.
7. brainwave feedback training system as claimed in claim 6, it is characterised in that the E.E.G stimulus signal update module,
Specifically for when the characteristics of EEG extraction module is when time power spectral density value of the characteristics of EEG of extraction is not in default target
When in power spectral density is interval, then the parameter of E.E.G stimulus signal is dynamically updated with default generation patterns.
8. brainwave feedback training system as claimed in claim 6, it is characterised in that the E.E.G stimulus signal includes：Polished bard
Energizing signal；The E.E.G stimulus signal update module, including：
First signal update submodule, when time characteristics of EEG of extraction, mesh is updated for according to the characteristics of EEG extraction module
The lighting parameter of light illumination mode is marked, wherein, the lighting parameter includes such as the next item down or more than two：Luminous intensity, color and sudden strain of a muscle
Bright frequency；
The signal output module, including：
First signal output submodule, for the target illumination schema creation light after the first signal update submodule renewal
Stimulus signal irradiates the eye of the user, to realize that the E.E.G to the user is trained.
9. brainwave feedback training system as claimed in claim 6, it is characterised in that the E.E.G stimulates to be included：Sound stimulat is believed
Number；The E.E.G stimulus signal update module, including：
Secondary signal updates submodule, and, when time characteristics of EEG of extraction, mesh is determined for according to the characteristics of EEG extraction module
The audio frequency parameter of acoustic pattern is marked, wherein, the audio frequency parameter includes such as the next item down or more than two：Intensity of sound, frequency, section
Rule and tune；
The signal output module, including：
Target audio file determination sub-module, for updating the target voice pattern after submodule updates according to the secondary signal
Audio frequency parameter, determine target audio file；
Secondary signal output sub-module, for playing the target audio file determination sub-module when the target audio text of time determination
Part, to realize that the E.E.G to the E.E.G wave band to be trained of the user is trained.
10. brainwave feedback training system as claimed in claim 6, it is characterised in that the E.E.G stimulus signal includes：Polished bard
Energizing signal and/or Sound stimulat signal；The brainwave feedback training system, also includes：
Output equipment determining module, for the type according to the E.E.G stimulus signal after renewal, determines destined output device, its
In, the destined output device includes：Intelligent illumination device and intelligent audio equipment；
Communication module, works as the E.E.G stimulus signal after renewal wirelessly to be sent to the output equipment determining module
The destined output device of secondary determination；
The signal output module, specifically for triggering the output equipment determining module when time destined output device of determination
E.E.G stimulus signal after output renewal, to realize that the E.E.G to the user is trained.
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| CN109480837A (en) * | 2018-10-30 | 2019-03-19 | 深圳市心流科技有限公司 | E.E.G induces adjusting method, device and computer readable storage medium |
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