CN105962935A - Brain electrical nerve feedback training system and method for improving motor learning function - Google Patents
Brain electrical nerve feedback training system and method for improving motor learning function Download PDFInfo
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
- A61B5/316—Modalities, i.e. specific diagnostic methods
- A61B5/369—Electroencephalography [EEG]
- A61B5/375—Electroencephalography [EEG] using biofeedback
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
- A61B5/25—Bioelectric electrodes therefor
- A61B5/279—Bioelectric electrodes therefor specially adapted for particular uses
- A61B5/291—Bioelectric electrodes therefor specially adapted for particular uses for electroencephalography [EEG]
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
- A61B5/316—Modalities, i.e. specific diagnostic methods
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7225—Details of analog processing, e.g. isolation amplifier, gain or sensitivity adjustment, filtering, baseline or drift compensation
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7235—Details of waveform analysis
- A61B5/725—Details of waveform analysis using specific filters therefor, e.g. Kalman or adaptive filters
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7235—Details of waveform analysis
- A61B5/7264—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems
- A61B5/7267—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems involving training the classification device
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/74—Details of notification to user or communication with user or patient ; user input means
- A61B5/7475—User input or interface means, e.g. keyboard, pointing device, joystick
Abstract
The invention relates to a brain electrical nerve feedback training system and method for improving a motor learning function. The system comprises a brain electrical signal collecting module, a brain electrical signal analysis module, a nerve feedback module, an auxiliary equipment module and a feedback output module, all of which are connected in a wireless mode or a wired mode, and the brain electrical signal collecting module is connected with the brain electrical signal analysis module. The brain electrical signal collecting module collects brain electrical signals and transmits the brain electrical signals to the brain electrical signal analysis module. The brain electrical signal analysis module carries out feature extraction and classification on the brain electrical signals and transmits the brain electrical signals to the nerve feedback module. The nerve feedback module is connected with the brain electrical signal analysis module, the feedback output module and the auxiliary equipment module to achieve optimizing and adjusting functions of brain electrical nerve feedback training. According to the brain electrical nerve feedback training system and method, targeted training can be carried out according to the motor learning nerve feedback scene, the preparation time in the nerve feedback training process is shortened, the specialty requirement in the nerve feedback training process is reduced, the application scene of the nerve feedback training is expanded, and the improving effect of the nerve feedback training on the motor learning capacity is improved.
Description
Technical field
The invention belongs to technical field of medical instruments, a kind of brain electricity improved for motor learning function
Neural feedback training system and method thereof.
Background technology
Neural feedback is a kind of skill produced by neuroscience field and biomedical engineering field mixing together
Art, its principle be by gather the physiological activity of subjects and real-time online ground feed back to some form by
Examination person, thus make the subjects can the state of regulation physical function actively.The main base of neural feedback of narrow sense
In EEG signals, the neural feedback of broad sense may utilize the multiple different physiological signals including EEG signals,
Such as electrocardio, myoelectricity, respiratory rhythm etc..
Neural feedback technology based on EEG signals is widely used, and it is mainly by gathering the brain telecommunications of subjects
Number, after computer Treatment Analysis, using the brain electrical feature of subjects as neural feedback information.At present, base
A techniques below difficult problem is there is: (1) EEG signals is faint and complicated and changeable, how to select in neural feedback technology
Suitably feature, enables effectively to reflect the state that brain is relevant to motor learning, and can be tested
Person provides effective guidance；(2) how to select and suitably feed back the form of expression, it is possible to subjects is prone to
Understand and accurate assurance brain electricity condition；(3) how to formulate and expeditiously feedback training system mode of operation or
Flow process, it is possible to make subjects complete neural feedback training within the relatively short time, it is to avoid tired feelings occur
Condition.
Summary of the invention
In place of it is an object of the invention to make up the deficiencies in the prior art, it is provided that one is reasonable in design, efficiency is high
And fast and accurately for brain electric nerve feedback training system and the method thereof of the improvement of motor learning function.
The present invention solves existing technical problem is that and takes techniques below scheme to realize:
A kind of for motor learning function improve brain electric nerve feedback training system, including brain wave acquisition module,
Brain electricity analytical module, neural feedback module, auxiliary equipment module and feedback output module, described brain wave acquisition
Module is connected with brain electricity analytical module, and this brain wave acquisition module gathers EEG signals and is transferred to brain electricity analytical
Module, described brain electricity analytical module carries out feature extraction and classification and is transferred to neural feedback mould EEG signals
Block, described neural feedback module and brain electricity analytical module and feedback output module, auxiliary equipment module are connected
Realize the optimization of brain electric nerve feedback training and adjust function.
Described brain wave acquisition module include electrode for encephalograms, acquisition component, Power Supply Assembly, CPU, process assembly and
Transmission assembly；Described CPU is connected realization to modules with processing assembly, acquisition component and transmission assembly
Control function；Described Power Supply Assembly is connected with CPU, acquisition component, process assembly and transmission assembly realization
Function of supplying power to modules；Described acquisition component is connected collection EEG signals by electrode for encephalograms with human body；
Described transmission assembly is connected with brain electricity analytical module；Described transmission assembly is wireless transmission unit or wired biography
Defeated unit.
Described electrode for encephalograms is one or more, and electrode for encephalograms is the electrode for encephalograms that noinvasive is wearable.
Described brain electricity analytical module includes two transmission assemblies, pretreatment unit, parser unit and index
Output unit；Described pretreatment unit is connected with brain wave acquisition module by a transmission assembly, pretreatment
Unit, parser unit and index output unit are sequentially connected and connect, and described index output unit passes through another
Individual transmission assembly is connected with neural feedback module, and said two transmission assembly is wireless transmission unit or wired
Transmission unit.
Described neural feedback module include two transmission assemblies, feedback model select unit, feedback model storehouse,
Feedback training performance element, feedback effects evaluation unit, feedback model optimize unit, feedback output unit and
Feedback output mode storehouse；Described feedback model select unit by transmission assembly and brain electricity analytical module and
Auxiliary equipment module is connected, and feedback model selects unit, feedback model storehouse, feedback model to optimize unit and depend on
Secondary being connected, described feedback training performance element selects unit, feedback output unit phase respectively with feedback model
Connecting, feedback training performance element, feedback effects evaluation unit, feedback model optimization unit is sequentially connected and connects,
Described feedback output unit is connected with feedback output mode storehouse, and this feedback output unit is defeated also by another
Going out assembly to be connected with feedback output module, said two transmission assembly is wireless transmission unit or wire transmission
Unit.
Described auxiliary equipment module is mouse, handwriting pad or touch screen.
Described feedback output module be display screen, virtual reality device, device for force feedback, voice output,
Photostimulation output device or electricity irritation output device.
Described brain electricity analytical module and neural feedback module are made up of FPGA circuitry, or brain electricity analytical module and
Neural feedback module is standalone module and is connected to form by wirelessly or non-wirelessly transmission means, or brain electricity divides
Analysis module and neural feedback module are to run software on computers and be with this by universal computer architecture
Other modules of uniting are connected
A kind of method of brain electric nerve feedback training system improved for motor learning function, including following step
Rapid:
Step 1: gathered the EEG signals of user by one or more electrode for encephalograms, and EEG signals is passed
It is passed to brain wave acquisition module；
Step 2: brain wave acquisition module carries out preliminary amplification, Filtering Processing after the EEG signals to collecting
And be converted to digital signal, by the way of wirelessly or non-wirelessly, it is sent to brain electricity analytical module；
Step 3: EEG signals is carried out further analysis by brain electricity analytical module, extract frequency, amplitude,
Power spectrum, entropy, graph theory network parameter, chaos and typing index, carry out feature extraction and classification, and will refer to
Mark analysis result is sent to neural feedback module by the way of wirelessly or non-wirelessly；
Step 4: be built-in with a series of motor learning that is applicable in neural feedback module and strengthen the neural feedback of training
Training pattern and training normal form, after selected a kind of training pattern, on the one hand neural feedback module obtains from making
The EEG signals of user, on the other hand obtains the motor message that user operation support device module produces, enters
Row assessment and contrast, and the motor message that brain electricity index and the operation support device module of user produce is led to
Cross feedback output module and feed back to user so that user knows the shape that self EEG signals changes in real time
State and rule and the state of motor message produced self by motor performance auxiliary equipment module；
Step 5: neural feedback module is according to the operating conditions of each user, the state of EEG signals and nerve
The anticipated index of feedback model produces the feature database optimized, and accumulates the effect of neural feedback training pattern
Optimize.
Advantages of the present invention and good effect be:
Each intermodule of the present invention uses wirelessly or non-wirelessly mode to transmit instruction and data, with direct body contact
Brain wave acquisition module can work alone, it is not necessary to use cable be connected with other modules, and use noinvasive
Wearable electrode for encephalograms, decreases the time during neural feedback training and professional requirement,
Also improve the application scenarios of neural feedback training simultaneously.The auxiliary that can be operated by limb motion by utilization
The user movable information that EM equipment module is incoming, neural feedback module can be by the brain electric information of user, motion
Information feeds back to user in real time by feedback output module, and generates the profile of user for excellent
Change neural feedback model, thus improve the neural feedback training improvement effect to motor educability.
Accompanying drawing explanation
Fig. 1 is the system connection diagram of the present invention；
Fig. 2 is the circuit block diagram of the brain wave acquisition module of the present invention；
Fig. 3 is the circuit block diagram of the brain electricity analytical module of the present invention；
Fig. 4 is the circuit block diagram of the neural feedback module of the present invention.
Detailed description of the invention
Below in conjunction with accompanying drawing, the embodiment of the present invention is further described:
A kind of brain electric nerve feedback training system improved for motor learning function, as it is shown in figure 1, include
Brain wave acquisition module, brain electricity analytical module, neural feedback module, auxiliary equipment module and feedback output module.
Described brain wave acquisition module is connected by wirelessly or non-wirelessly transmission means with described brain electricity analytical, brain electricity
Analysis module is integrated with the multiple brain electricity analytical algorithm being applicable to motor learning can be by from brain wave acquisition module
Signal is converted to such as: frequency, amplitude, power spectrum, entropy, graph theory network parameter, chaos and typing etc. quantify
Index also carries out feature extraction and classification.Described brain electricity analytical module and neural feedback module can be one whole
Body structure, it is also possible to be two independent modules, when brain electricity analytical module and neural feedback module be one whole
During body structure, the software program can also be able to being embodied as in general computer architecture by FPGA circuitry realization,
When brain electricity analytical module and neural feedback module are two independent modules, brain electricity analytical module and nerve are anti-
Feedback module is linked together by wired or wireless transmission means.Described feedback output module and described god
It is connected by wirelessly or non-wirelessly mode through feedback module, can be by from brain electricity analytical by neural feedback module
The index of module substitutes into motor learning neural feedback training mode storehouse, in a specific way by feedback output module
User is exported such as: the signals such as sound, image, force feedback action, electricity irritation, photostimulation, user
Can feed back by noting, stare, imagine or operate the mode neurads such as the auxiliary equipment module relevant to motion
Module input auxiliary signal, the input from user can be converted to feedback training evaluation by neural feedback module
Index, is optimized motor learning neural feedback training mode and adjusts.Below to each mould in system
Block illustrates respectively:
As in figure 2 it is shown, brain wave acquisition module includes electrode for encephalograms, acquisition component, Power Supply Assembly, CPU, place
Reason assembly and transmission assembly, CPU is connected realization to each mould with processing assembly, acquisition component and transmission assembly
The control function of block.Power Supply Assembly be connected with CPU, acquisition component, process assembly and transmission assembly realize right
The function of supplying power of modules.Acquisition component is connected the brain gathering human body by non-invasive electrode for encephalograms with human body
The signal of telecommunication.From the EEG signals of human body in brain wave acquisition module through acquisition component and process putting of assembly
Greatly, be converted to digital signal after the pretreatment such as filtering, and passed in a wired or wireless manner by transmission assembly
It is defeated by brain electricity analytical module.When using wireless transmission method, brain wave acquisition module is powered by its cells,
Brain wave acquisition and the wireless transmission function being easy to dress can be realized.One of ordinary skill in the art it will be appreciated that
Arriving, all electrodes providing EEG signals to sample all go for system described in the invention and side thereof
Method.Electrode type provided in example and the mode of leading are not intended as the range to the present invention or function
Any limitation is proposed.
As it is shown on figure 3, brain electricity analytical module include transmission assembly, pretreatment unit, parser unit,
Index output unit.Transmission assembly includes transmission assembly and and the neural feedback being connected with brain wave acquisition module
The transmission assembly that module is connected, transmission assembly all can be transmitted in a wired or wireless fashion.From brain electricity
The EEG signals through pretreatment of acquisition module enters brain electricity in a wired or wireless manner by transmission assembly
Analyze module, in pretreatment unit, EEG signals further filtered, remove interference, artefact etc.
Operation.Parser unit is integrated with the multiple brain electricity analytical algorithm being applicable to motor learning can be by from brain electricity
The signal of acquisition module is converted to such as: frequency, amplitude, power spectrum, entropy, graph theory network parameter, chaos and
The quantizating index such as typing, carry out feature extraction and classification, and parser unit calculates the index generated in index
Output unit formats specification and packing according to XML language form, and by transmission assembly with wired
Or wirelessly neural feedback module is arrived in output.
As shown in Figure 4, neural feedback module includes that transmission assembly, feedback model select unit, feedback model
Storehouse, feedback training performance element, feedback effects evaluation unit, feedback model optimize unit, feedback output list
Unit, feedback output mode storehouse.Transmission assembly includes being connected with brain wave acquisition module, auxiliary equipment module
Transmission assembly and the transmission assembly being connected with feedback output module, transmission assembly all can be wired or wireless
Mode is transmitted.Brain electricity index from brain electricity analytical module and the fortune of the user from auxiliary equipment module
Dynamic indicator reaction enters feedback model in a wired or wireless manner by transmission assembly and selects unit, feeds back mould
Type selects unit to be arranged in feedback model storehouse according to system and selects the neural feedback being suitably suitable to motor learning
Model and training normal form, generate the concrete instruction that performs by feedback training performance element, feed back output unit
According to performing the feedback output mode that instruction selects to specify in feedback output mode storehouse, and pass through transmission assembly
Feedback output module is exported with wired or wireless form.During motor learning neural feedback is trained,
User will enter feedback effects evaluation unit, instead in real time by the motor reaction situation that auxiliary equipment is incoming
Feedback effect assessment unit is by the difference between assessment feedback model expected effects and actual implementation effect, and will tie
Fruit output optimizes unit to feedback model, and feedback model optimizes unit can be according to feedback effects evaluation index to life
The characteristic parameter becoming user carries out parameter adjustment and optimization to feedback model, thus improves the same of future and make
The neural feedback training effect of user or different users.
Auxiliary equipment module can use mouse and/or handwriting pad and/or touch screen etc. based on limb motion defeated
Enter equipment, by wireless or wired by the way of be connected to processing module.
Feedback output module be display screen and/or virtual reality device and/or device for force feedback and/or sound and/
Or the outut device such as photostimulation and/or electricity irritation follower, by wireless or wired by the way of be connected to process
Module.
The present invention uses can wireless connections and can rely on battery powered brain wave acquisition module, it is simple to user is worn
Wear, expand the application scenarios of brain-computer interface, and introduce the auxiliary equipment module relevant to limb motion,
Can carry out for motor learning neural feedback scene and train targetedly, further, neural feedback module have
There is feedback model storehouse and feedback model can be carried out by feedback effects evaluation unit and feedback model optimization unit
Optimize in real time and targetedly, finally, can set up make by feedback output module and auxiliary equipment module
The closed loop man-machine interaction of user and nervous feedback system, in conjunction with motor learning scene, above improvement will be played and carry
High neural feedback effect, especially motor learning function improve the positive role of effect.
The brain electric nerve feedback training method for the improvement of motor learning function of the present invention comprises the following steps:
(1) EEG signals of user is collected by the wearable electrode for encephalograms of one or more non-invasives, and
EEG signals is transferred to brain wave acquisition module.
(2) portable make the battery-powered brain wave acquisition module original EEG signals to collecting laggard
Capable preliminary amplification, Filtering Processing are also converted to digital signal, are sent to brain by the way of wirelessly or non-wirelessly
Electroanalysis module.
(3) EEG signals is carried out further analysis by brain electricity analytical module, extracts frequency, amplitude, merit
The quantizating index such as rate spectrum, entropy, graph theory network parameter, chaos and typing, and carry out feature extraction and classification,
And index analysis result is sent to neural feedback module by the way of wirelessly or non-wirelessly；
(4) neural feedback module is built-in with a series of motor learning that is applicable to and strengthens the neural feedback instruction of training
Practicing model and training normal form, after selected a kind of training pattern, on the one hand neural feedback module obtains from use
On the one hand the EEG signals of person, obtains the motor message that user operation support device produces, be estimated and
Contrast, and the motor message that the brain electricity index of user and operation support device are produced by sound, image,
The modes such as force feedback action, electricity irritation, photostimulation feed back to user by feedback output module so that make
User can know state and rule that self EEG signals changes and auxiliary self by motor performance in real time
Help the state of the motor message that equipment produces；
(5) neural feedback module can be according to the operating conditions of each user, the state of EEG signals and nerve
The anticipated index of feedback model produces the feature database optimized, thus carries out the effect of neural feedback training pattern
Accumulation optimizes, and strengthens same user and different user carries out motor learning and strengthens training when neural feedback is trained
Effect.
The execution of above-mentioned training method or realization order are dispensable, unless otherwise.That is, method
Element can perform by any order, unless otherwise, and method can include than disclosed herein more
Many or less element.It is believed that before another element, simultaneously or afterwards perform or realize spy
Determining element is within the scope of the present invention.
When introducing the element of the present invention or embodiment, article " ", " one ", " being somebody's turn to do " and " described "
Refer to there is one or more element." include ", " comprising ", " having " are intended to inclusive, and are meaned
Other elements can also be had in addition to listed element.
Owing to various changing can be made without departing from the scope of the invention in the said goods and method
Become, be therefore included in description above and all the elements illustrated in the accompanying drawings all should be interpreted illustrative
And it is nonrestrictive.
It is emphasized that embodiment of the present invention is illustrative rather than determinate, therefore
The present invention includes the embodiment being not limited to described in detailed description of the invention, every by those skilled in the art's root
Other embodiments drawn according to technical scheme, also belong to the scope of protection of the invention.
Claims (9)
1. the brain electric nerve feedback training system improved for motor learning function, it is characterised in that: bag
Include brain wave acquisition module, brain electricity analytical module, neural feedback module, auxiliary equipment module and feedback output mould
Block, described brain wave acquisition module is connected with brain electricity analytical module, and this brain wave acquisition module gathers EEG signals
And it being transferred to brain electricity analytical module, described brain electricity analytical module carries out feature extraction and classifies also EEG signals
It is transferred to neural feedback module, described neural feedback module and brain electricity analytical module and feedback output module, auxiliary
Help EM equipment module to be connected realize the optimization of brain electric nerve feedback training and adjust function.
The brain electric nerve feedback training system improved for motor learning function the most according to claim 1,
It is characterized in that: described brain wave acquisition module includes electrode for encephalograms, acquisition component, Power Supply Assembly, CPU, place
Reason assembly and transmission assembly；Described CPU with process assembly, acquisition component and transmission assembly be connected realize right
The control function of modules；Described Power Supply Assembly and CPU, acquisition component, process assembly and transmission assembly phase
Connect the function of supplying power realized modules；Described acquisition component is connected collection by electrode for encephalograms with human body
EEG signals；Described transmission assembly is connected with brain electricity analytical module；Described transmission assembly is for being wirelessly transferred list
Unit or wire transmission unit.
The brain electric nerve feedback training system improved for motor learning function the most according to claim 2,
It is characterized in that: described electrode for encephalograms is one or more, electrode for encephalograms is the brain electricity electricity that noinvasive is wearable
Pole.
The brain electric nerve feedback training system improved for motor learning function the most according to claim 1,
It is characterized in that: described brain electricity analytical module includes two transmission assemblies, pretreatment unit, parser list
Unit and index output unit；Described pretreatment unit is connected with brain wave acquisition module by a transmission assembly,
Pretreatment unit, parser unit and index output unit are sequentially connected and connect, and described index output unit leads to
Crossing another transmission assembly to be connected with neural feedback module, said two transmission assembly is wireless transmission unit
Or wire transmission unit.
The brain electric nerve feedback training system improved for motor learning function the most according to claim 1,
It is characterized in that: described neural feedback module includes that two transmission assemblies, feedback model select unit, feedback
Model library, feedback training performance element, feedback effects evaluation unit, feedback model optimize unit, feed back defeated
Go out unit and feedback output mode storehouse；Described feedback model selects unit to be divided with brain electricity by a transmission assembly
Analysis module is connected with auxiliary equipment module, and feedback model selects unit, feedback model storehouse, feedback model excellent
Change unit to be sequentially connected and connect, described feedback training performance element select with feedback model respectively unit, feed back defeated
Going out unit to be connected, feedback training performance element, feedback effects evaluation unit, feedback model optimize unit and depend on
Secondary being connected, described feedback output unit is connected with feedback output mode storehouse, and this feedback output unit is the most logical
Crossing another output precision to be connected with feedback output module, said two transmission assembly is wireless transmission unit
Or wire transmission unit.
The brain electric nerve feedback training system improved for motor learning function the most according to claim 1,
It is characterized in that: described auxiliary equipment module is mouse, handwriting pad or touch screen.
The brain electric nerve feedback training system improved for motor learning function the most according to claim 1,
It is characterized in that: described feedback output module is display screen, virtual reality device, device for force feedback, sound
Output device, photostimulation output device or electricity irritation output device.
The brain electric nerve feedback training system improved for motor learning function the most according to claim 1,
It is characterized in that: described brain electricity analytical module and neural feedback module are made up of FPGA circuitry, or brain electricity divides
Analysis module and neural feedback module are standalone module and are connected to form by wirelessly or non-wirelessly transmission means, or
Person's brain electricity analytical module and neural feedback module are the software run on computers and are tied by general purpose computer
Other modules of structure and native system are connected.
9. the brain electric nerve being used for the improvement of motor learning function as described in any one of claim 1 to 8 is anti-
The method of feedback training system, it is characterised in that comprise the following steps:
Step 1: gathered the EEG signals of user by one or more electrode for encephalograms, and EEG signals is passed
It is passed to brain wave acquisition module；
Step 2: brain wave acquisition module carries out preliminary amplification, Filtering Processing after the EEG signals to collecting
And be converted to digital signal, by the way of wirelessly or non-wirelessly, it is sent to brain electricity analytical module；
Step 3: EEG signals is carried out further analysis by brain electricity analytical module, extract frequency, amplitude,
Power spectrum, entropy, graph theory network parameter, chaos and typing index, carry out feature extraction and classification, and will refer to
Mark analysis result is sent to neural feedback module by the way of wirelessly or non-wirelessly；
Step 4: be built-in with a series of motor learning that is applicable in neural feedback module and strengthen the neural feedback of training
Training pattern and training normal form, after selected a kind of training pattern, on the one hand neural feedback module obtains from making
The EEG signals of user, on the other hand obtains the motor message that user operation support device module produces, enters
Row assessment and contrast, and the motor message that brain electricity index and the operation support device module of user produce is led to
Cross feedback output module and feed back to user so that user knows the shape that self EEG signals changes in real time
State and rule and the state of motor message produced self by motor performance auxiliary equipment module；
Step 5: neural feedback module is according to the operating conditions of each user, the state of EEG signals and nerve
The anticipated index of feedback model produces the feature database optimized, and accumulates the effect of neural feedback training pattern
Optimize.
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| CN106691441A (en) * | 2016-12-22 | 2017-05-24 | 蓝色传感（北京）科技有限公司 | Attention training system based on brain electricity and movement state feedback and method thereof |
| CN106725455A (en) * | 2016-12-22 | 2017-05-31 | 蓝色传感（北京）科技有限公司 | It is used for the training system and method for brain ability training based on sensor feedback |
| CN107577343A (en) * | 2017-08-25 | 2018-01-12 | 北京航空航天大学 | It is a kind of based on the notice of haptic device and electroencephalogramsignal signal analyzing training and evaluating apparatus |
| CN108814594A (en) * | 2018-04-18 | 2018-11-16 | 深圳大学 | A kind of real-time neural feedback device, system, method and computer storage medium |
| CN109859570A (en) * | 2018-12-24 | 2019-06-07 | 中国电子科技集团公司电子科学研究院 | A kind of brain training method and system |
| CN110302462A (en) * | 2019-08-06 | 2019-10-08 | 张铎 | A kind of neural feedback training system based on EEG signals |
| CN111920408A (en) * | 2020-08-11 | 2020-11-13 | 深圳大学 | Signal analysis method and component of electroencephalogram nerve feedback system combined with virtual reality |
| CN113729709A (en) * | 2021-09-23 | 2021-12-03 | 中国科学技术大学先进技术研究院 | Neurofeedback apparatus, neurofeedback method, and computer-readable storage medium |
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