CN109011096A - A kind of system fed back based on brain electric nerve for the brain concentration function that trains soldiers - Google Patents
A kind of system fed back based on brain electric nerve for the brain concentration function that trains soldiers Download PDFInfo
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Abstract
The invention discloses a kind of systems fed back based on brain electric nerve for the brain concentration function that trains soldiers, include: PC1: being handled for watching the eeg data that feedback stimulus information generates on PC3 attentively to the collected experimenter of received electroencephalogramsignal signal collection equipment, obtain nicety of grading data；And nicety of grading data are transferred to PC2；PC2: the nicety of grading data for handling received PC1 carry out storage and voice output；PC3: being used for and the network interconnection, provides feedback stimulus information database to experimenter.The eeg data that soldier corresponds to a certain feedback stimulus information in neural feedback training process passes through the processing of PC1, will obtain embodying the nicety of grading data fed back stimulus information and cause soldier's concentration level, realizes the training of concentration；Nicety of grading data are input in the Excel of PC2 in a manner of percentage, and timely feed back to soldier with voice output, so that soldier carries out dynamic adjustment to feedback stimulus information current in PC3, to save the training time, improve training effectiveness.
Description
Technical field
The present invention relates to a kind of systems fed back based on brain electric nerve for the brain concentration function that trains soldiers, and belong to letter
Cease technical field.
Background technique
BCI technology based on brain electricity not only has important research meaning in the current information age, but also has extensive
Application field and real value.BCI technology can directly utilize human body electroencephalogram's signal, be set by external software and hardware information processing
Standby rapid build Controlling model, forms control instruction, and then control external physical equipment, thinks realization to reach individual
Behavior purpose.
Such technology can provide synkinesia control for the disabled person with severe motion dysfunction, improve theirs
Quality of life；It can be used for military field, promote individual combat efficiency.Shown according to the Developments of brain electric information
BCI technology has been widely used for the related fieldss such as cognitive science, cognitive psychology, Neuscience and psychophysiology at present.
According to newest research, EEG signals have been used for novel man-machine interface-brain-machine interaction field, and the research has become the world
One of research hotspot in frontier science and technology artificial intelligence field.
However, be faced with many technological challenges currently based on the BCI technology of brain electricity, challenge therein first is that in engineering reality
Current human-computer interaction efficiency is not high, be specifically exactly human brain be a complexity and real-time perfoming many plysiochemical reactions
Body, existing BCI technology needs to handle by external physical equipment analysis after extracting EEG signals, then by manually into
The targeted brain information feedback of row, so that the information exchange of entire link is discontinuous, and brain is not initially to acquire already
Functional state when signal, so that the actual effect of entire technology is less desirable.
For the relationship between research EEG signals and human brain regional function, and pass through the brain electricity normal form of neural feedback
Adjusting of performing the self-motivation to improve and strengthen the regional function of brain is problem to be solved.
Summary of the invention
The present invention provides a kind of system fed back based on brain electric nerve for the brain concentration function that trains soldiers, to be used for
The training of soldier's brain concentration is realized by the system.
The technical scheme is that a kind of fed back based on brain electric nerve for train soldiers brain concentration function is
System, comprising:
PC1: feed back what stimulus information generated for watching attentively on PC3 to the collected experimenter of received electroencephalogramsignal signal collection equipment
Eeg data is handled, and nicety of grading data are obtained；And nicety of grading data are transferred to PC2；
PC2: the nicety of grading data for handling received PC1 carry out storage and voice output；
PC3: being used for and the network interconnection, provides feedback stimulus information database to experimenter.
The PC1 carries out the step of eeg data processing are as follows: and PC1 handles received eeg data using space filtering,
EEG signals after obtaining common average reference space filtering；Then with elliptic function filter to the brain telecommunications after space filtering
Number bandpass filtering is carried out, to remove unwanted band signal, the EEG signals of 8~30Hz wave band needed for obtaining；Again using only
Vertical componential analysis handles the 8~30Hz EEG signals obtained by bandpass filtering, to remove in EEG signals
Eye electrical interference ingredient, and then obtain pretreated EEG signals；Then using airspace mode altogether to the brain electricity after after pretreatment
Signal carries out feature extraction, the characteristic parameter needed；Finally using support vector machines to the feature obtained after feature extraction
Parameter carries out pattern classification, obtains nicety of grading data.
The time for a certain feedback stimulus information that the PC2 storage nicety of grading data and the nicety of grading data are embodied
Section.
The result that feedback stimulus information in the PC3 is stored according to PC2 carries out dynamic adjustment: for what is stored in PC2
Nicety of grading data are more than or equal to scheduled mean accuracy data, then retain its corresponding feedback stimulus information.
The beneficial effects of the present invention are:
(1), the selection of the feedback such as traditional vision, sense of hearing stimulus information be all researcher had been prepared for generality
Information bank, but have ignored between Different Individual to information choose processing otherness.And the user soldier in the application exists
It independently selects that the horizontal feedback stimulation letter with distinct charatcteristic of itself concentration can be improved by internet in PC3
Breath.
(2), the eeg data that soldier corresponds to a certain feedback stimulus information in neural feedback training process passes through the place of PC1
Reason will obtain embodying the nicety of grading data fed back stimulus information and cause soldier's concentration level, realize the training of concentration；Point
Class accuracy data is input in the Excel of PC2 in a manner of percentage, and timely feeds back to soldier with voice output, so as to
Soldier carries out dynamic adjustment to feedback stimulus information current in PC3, to save the training time, improves training effectiveness.
Detailed description of the invention
Fig. 1 is schematic structural view of the invention；
Fig. 2 is voice output schematic diagram；
Fig. 3 is that brain electric nerve feedback executes process；
Fig. 4 is electrode position schematic diagram (FPz be reference position with Oz).
Specific embodiment
Embodiment 1: as shown in Figs 1-4, a kind of to be fed back based on brain electric nerve for the brain concentration function that trains soldiers
System, comprising:
PC1: feed back what stimulus information generated for watching attentively on PC3 to the collected experimenter of received electroencephalogramsignal signal collection equipment
Eeg data is handled, and nicety of grading data are obtained；And nicety of grading data are transferred to PC2；
PC2: the nicety of grading data for handling received PC1 carry out storage and voice output；
PC3: being used for and the network interconnection, provides feedback stimulus information database to experimenter.
It is possible to further which the step of PC1 carries out eeg data processing is arranged are as follows: PC1 is by received eeg data
It is handled using space filtering, the EEG signals after obtaining common average reference space filtering；Then with elliptic function filter pair
EEG signals after space filtering carry out bandpass filtering, to remove unwanted band signal, 8~30Hz wave band needed for obtaining
EEG signals；It again will be at the 8~30Hz EEG signals that obtained by bandpass filtering using independent component analysis method (ICA)
It manages, to remove the electrooculogram(EOG) interference component in EEG signals, and then obtains pretreated EEG signals；Then it uses
Airspace mode (CSP) carries out feature extraction, the characteristic parameter needed to the EEG signals after after pretreatment altogether；Finally use
Support vector machines (SVM) carries out pattern classification to the characteristic parameter obtained after feature extraction, obtains nicety of grading data.
It is possible to further PC2 storage nicety of grading data are set and the nicety of grading data embodied it is a certain
Feed back the period of stimulus information.
Feedback stimulus information it is possible to further be arranged in the PC3 carries out dynamic tune according to the result that PC2 is stored
It is whole: scheduled mean accuracy data being more than or equal to for the nicety of grading data stored in PC2, then retain its corresponding feedback thorn
Swash information.
The course of work of the invention is:
By the collected eeg data of brain wave acquisition equipment, it is sent in PC1 in a manner of wireless transmission, it is right in PC1
The volume of data processing such as the eeg data received pre-processed, feature extraction and pattern classification, can use 5- folding to intersect
Obtained nicety of grading is assessed in verifying.
The nicety of grading data obtained after pattern classification are input in the Excel of PC2 in the form of percentage.Together
When, be input to nicety of grading data that Excel is shown with percents and the nicety of grading data embodied it is a certain anti-
The period of feedback stimulus information is mapped, and feedback training effect is analyzed and assessed so as to real time inspection and in the later period
(here using nicety of grading data corresponding with the period of a certain feedback stimulus information that the nicety of grading data are embodied
Come, rather than the feedback stimulus information is mapped with nicety of grading data, main cause is: soldier is in neural feedback training
In the process, it is possible that fatigue state.It, can if the feedback stimulus information occurred at this time was interested to soldier originally
The concentration of soldier is improved, but since soldier's brain is in a state of fatigue, so that EEG signals amplitude of variation is greatly reduced,
To the case where erroneous judgement occur).
The nicety of grading for embodying feedback stimulus information and causing soldier's concentration concentration level corresponding in time period
Data feed back to soldier in a manner of voice output, and soldier is enabled to understand the feedback received in time period in real time
Stimulus information causes the activation degree of itself brain.If corresponding feedback stimulus information in the period, so that output
Nicety of grading data are more than or equal to previously given mean accuracy data, illustrate corresponding feedback stimulus information pair in the period
Soldier promotes concentration, and improving corresponding cerebral functional lateralitv has positive effect.Therefore feedback stimulus information can be moved
State adjustment is remained into and is somebody's turn to do that is, soldier's brain can be caused to have the feedback stimulus information obviously activated timely to screen
(there is classification essence in a cycle of training, in different time sections in corresponding the established feedback stimulus information database of soldier
Degree retains corresponding feedback stimulus information according to the case where being more than or equal to given data, is more than or equal to but also exists for not only existing
Less than the case where, belong to retain situation), to save the feedback training time, improve training effectiveness；Soldier's brain cannot be made to have
The corresponding this kind of feedback stimulus informations obviously activated exclude.Dynamic adjustment is carried out to feedback stimulus information database, is
, originally may be interested be in a certain nouveaut in view of human body itself has thinking inertia and inertia, time of contact
Long, weary mood will be generated, the reaction of brain is no longer so strong.So if having been saved in the feedback of the soldier
Stimulus information in stimulus information database, after repetition training effect declined, or even decline it is obvious, so that it may
The stimulus information is rejected from database in due course, be further continued for filtering out from internet ideal stimulus information is added should
In the feedback stimulus information database of soldier.Because there are the information resources of magnanimity in internet, do not have to worry stimulus information
Deficient factor, this greatly improves flexibility of the feedback training for different soldiers.
Soldier is look at PC3, and when receiving feedback stimulus information, hearing is stimulated with embodiment feedback corresponding in the period
After information is to the nicety of grading data of itself brain activation degree, grasping the feedback stimulus information received in real time can cause
The horizontal variation of itself concentration, and in the networking PC3 for receiving feedback stimulation source, in time to feed back stimulus information into
Row adjustment.The fire accuracy of soldier and its own concentration and the state of mind are closely related.I.e. if soldier is receiving feedback
When trained a certain stimulation (visions such as picture or video, auditory information), collected eeg data is by real-time online
After reason, nicety of grading shows the soldier in this time close to when being even higher than the average reference accuracy data provided in advance
Great interest is generated to a certain feedback stimulus information received in section, its concentration is effectively improved, strengthens brain pair
The responsiveness for answering functional area strengthens corresponding brain zone function by repeating feedback training.In neural feedback training process,
The time that soldier receives different feedback stimulus informations is set as the equal period, variable influence factor is reduced, after being conducive to
Continuous data processing.Soldier is in different times in section, and when receiving different feedback stimulus informations, corresponding EEG signals are characterized in
Distinguishing, the features such as corresponding EEG signals amplitude of some stimulus informations are very high (apparent) or very close, some amplitudes
Etc. features just differ greatly (or very faint).Not according to feedback stimulus information corresponding to the period different in acquired data
Together, the pattern classification precision obtained is of different sizes, so that it may show which kind of feedback stimulus information can improve the concentration of soldier,
Improve its fire accuracy.
Wherein, the feedback stimulus information form that soldier selects in internet includes: static images, dynamic picture and video
Deng, increase feedback stimulus information diversity and flexibility.
In entire neural feedback training process, it is desirable that soldier within the period for receiving feedback stimulus information in addition to keeping
Body is motionless, wholwe-hearted to carry out feedback training.Soldier can carry out activity and other tasks, including body in other times section
Movement and computer is operated etc..Increase the mobility of training system.
Since training was distinguished according to the period, so when not having to worry that soldier makes adjustment to feedback stimulus information
Due to body movement or operation computer and influence EEG signals record, in subsequent data processing link, when with this
Between the removal of section corresponding eeg data just.
Above in conjunction with attached drawing, the embodiment of the present invention is explained in detail, but the present invention is not limited to above-mentioned
Embodiment within the knowledge of a person skilled in the art can also be before not departing from present inventive concept
Put that various changes can be made.
Claims (4)
1. a kind of system fed back based on brain electric nerve for the brain concentration function that trains soldiers, it is characterised in that: include:
PC1: feed back what stimulus information generated for watching attentively on PC3 to the collected experimenter of received electroencephalogramsignal signal collection equipment
Eeg data is handled, and nicety of grading data are obtained；And nicety of grading data are transferred to PC2；
PC2: the nicety of grading data for handling received PC1 carry out storage and voice output；
PC3: being used for and the network interconnection, provides feedback stimulus information database to experimenter.
2. the system according to claim 1 fed back based on brain electric nerve for the brain concentration function that trains soldiers,
Be characterized in that: the PC1 carries out the step of eeg data processing are as follows: and PC1 handles received eeg data using space filtering,
EEG signals after obtaining common average reference space filtering；Then with elliptic function filter to the brain telecommunications after space filtering
Number bandpass filtering is carried out, to remove unwanted band signal, the EEG signals of 8~30Hz wave band needed for obtaining；Again using only
Vertical componential analysis handles the 8~30Hz EEG signals obtained by bandpass filtering, to remove in EEG signals
Eye electrical interference ingredient, and then obtain pretreated EEG signals；Then using airspace mode altogether to the brain electricity after after pretreatment
Signal carries out feature extraction, the characteristic parameter needed；Finally using support vector machines to the feature obtained after feature extraction
Parameter carries out pattern classification, obtains nicety of grading data.
3. the system according to claim 1 fed back based on brain electric nerve for the brain concentration function that trains soldiers,
Be characterized in that: a certain feedback stimulus information that PC2 storage nicety of grading data and the nicety of grading data are embodied when
Between section.
4. the system according to claim 1 fed back based on brain electric nerve for the brain concentration function that trains soldiers,
Be characterized in that: the result that the feedback stimulus information in the PC3 is stored according to PC2 carries out dynamic adjustment: for what is stored in PC2
Nicety of grading data are more than or equal to scheduled mean accuracy data, then retain its corresponding feedback stimulus information.
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| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20181218 |
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| RJ01 | Rejection of invention patent application after publication |