CN108469896A - A kind of brain-computer interface hybrid coding normal form method based on asymmetric brain electrical feature - Google Patents

A kind of brain-computer interface hybrid coding normal form method based on asymmetric brain electrical feature Download PDF

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CN108469896A
CN108469896A CN201810065388.1A CN201810065388A CN108469896A CN 108469896 A CN108469896 A CN 108469896A CN 201810065388 A CN201810065388 A CN 201810065388A CN 108469896 A CN108469896 A CN 108469896A
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brain
coding
multiple access
division multiple
hybrid coding
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明东
肖晓琳
许敏鹏
王仲朋
汤佳贝
陈龙
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Tianjin University
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Tianjin University
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Priority to PCT/CN2018/125927 priority patent/WO2019144776A1/en
Priority to US16/616,834 priority patent/US11221672B2/en
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/011Arrangements for interaction with the human body, e.g. for user immersion in virtual reality
    • G06F3/015Input arrangements based on nervous system activity detection, e.g. brain waves [EEG] detection, electromyograms [EMG] detection, electrodermal response detection

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  • General Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Neurosurgery (AREA)
  • General Health & Medical Sciences (AREA)
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  • Health & Medical Sciences (AREA)
  • Dermatology (AREA)
  • Human Computer Interaction (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Biomedical Technology (AREA)
  • Measurement And Recording Of Electrical Phenomena And Electrical Characteristics Of The Living Body (AREA)

Abstract

The brain-computer interface hybrid coding normal form method based on asymmetric brain electrical feature that the present invention relates to a kind of, which is characterized in that include the following steps:Step 1, structure induces stimulating module in brain machine interface system;Step 2, the induction stimulating module send out hybrid coding signal to tester according to demand and form EEG signals;Step 3, acquisition module after amplifying to EEG signals, being filtered by forming data information;Data information is converted into instruction set and exported by step 4, the decoder module;This method, to the asymmetrical characteristic of stimuli responsive, divides in conjunction with space division multiple access, CDMA, frequency division multiple access and mutually the coding strategies such as multiple access, effective expansion system instruction set number according to brain bioelectrical activity.

Description

A kind of brain-computer interface hybrid coding normal form method based on asymmetric brain electrical feature
Technical field
The present invention relates to brain-computer interface systems technology fields, and in particular to a kind of brain-machine based on asymmetric brain electrical feature Interface hybrid coding normal form.
Background technology
Brain-computer interface (Brain-Computer Interface, BCI) is one and directly turns central nervous system activities The system manually exported is turned to, it can substitute, repair, enhance, supplement or improve the normal output of central nervous system, from And improve the reciprocation between central nervous system and internal and external environment.By the brain for acquiring and analyzing subject under different stimulated Electric signal reuses certain engineering technology means and sets up exchanging between human brain and computer or other electronic equipments and control Channel processed.BCI technologies realize a kind of completely new information exchange and control mode, can be disabled person's especially those basic limbs Body motor function is damaged but the patient having a normal thinking provides a kind of approach with extraneous progress communication and control, makes their nothings It need to carry out language or limb action can be the same as extraneous exchange or manipulation external device.For this purpose, BCI technologies are also increasingly by weight Depending on.
In brain-computer interface systematic research, the normal form application induced using visual stimulus is more universal, wherein being based on thing In part related potential (Event-Related Potential, ERP) P300-speller of P300 features and be based on stable state vision The SSVEP-BCI of Evoked ptential (Steady-State Visual Evoked Potential, SSVEP) is most widely used, Its relevant technologies has developed relatively stable and ripe.Since EEG signals have non-linear and non-stationary feature, from One of the important technology that faint EEG signals are characterized in BCI systems is extracted in complicated background brain electricity, in order to overcome brain electricity to carry on the back Scape noise, traditional BCI normal forms generally use strong stimulation induce, and call a large amount of related Neurons activation to induce amplitude bigger, spy More obvious brain electrical feature is levied, as the stimulation area of tradition SSVEP-BCI occupies user perspective range to other than 4 °, according to view Film-cortex figure calculates, and individually stimulation activation primary visual cortex region area reaches 1300mm under the normal form2, traditional P300- The target stimulation activation area of speller reaches 160mm2, and the performance of the two can be substantially reduced because of the reduction of Cortical activation area, Therefore the BCI systems of traditional view-based access control model Induced by Stimulation have that stimulation area is big, intensity is high, occupy more than cognitive resources, no The operation that long-time multitask is carried out conducive to user limits the further development and application of BCI technologies.
Asymmetric visual evoked potential (asymmetric Visual Evoked Potential, aVEP) is as asymmetric The Typical Representative of brain electrical feature, belongs to atomic weak laterality visual evoked potential, and amplitude is usually less than 1 μ V.According to brain vision The space offside advantages characteristic of stimuli responsive, aVEP can be generated by the unilateral Induced by Stimulation for appearing in circle-of-sight visibility, in this patent It, will be for inducing aVEP features in book in Part V technical solution, brain-machine of the specific explanations based on asymmetric brain electrical feature The detailed process of interface normal form design.
Invention content
It is an object of the invention to overcome defect existing for above-mentioned background technology, provide a kind of based on asymmetric brain electrical feature Brain-computer interface hybrid coding normal form method, this method according to brain bioelectrical activity to the asymmetrical characteristic of stimuli responsive, knot It closes space division multiple access, CDMA, frequency division multiple access and mutually divides the coding strategies such as multiple access, effective expansion system instruction set number, for brain- The development of machine interface system provides new direction.
Technical scheme of the present invention:
A kind of brain-computer interface hybrid coding normal form method based on asymmetric brain electrical feature, which is characterized in that including as follows Step:
Step 1, structure induces stimulating module in brain-computer interface system;
Step 2, the induction stimulating module send out hybrid coding signal to tester according to demand and form EEG signals;
Step 3, acquisition module after amplifying to EEG signals, being filtered by forming data information;
Data information is converted into instruction set and exported by step 4, the decoder module.
Step 2 divides multi-address coding in space division multiple access basis of coding edit code.
The hybrid coding for inducing stimulating module generation includes space division multiple access coding, CDMA coding, frequency division multiple access Be mutually divided in multiple access at least arbitrary two kinds of coded combinations.
The hybrid coding for inducing stimulating module generation includes space division multiple access coding, CDMA coding, frequency division multiple access With mutually divide multiple access.The hybrid coding combined strategy includes:It is " left/right " code that the space division multiple access, which is compiled,;The CDMA is compiled Code is " 0/1 " CDMA dibit encoding;The frequency division multiple access is encoded to " 12Hz (single stimulation time 83.33ms's), 13 (single stimulation time 76.92ms's), 14 (single stimulation time 71.43ms'), 15 (single stimulation time 66.67ms'), 16 (single stimulation time 62.5ms') ", five kinds of frequencies mutually divide multi-address coding " 0 °/90 ° " codings with described, you can realize The hybrid coding strategy of 2x2x5x2=40.
Compared with prior art, the present invention has the advantage that:
1, the novel brain-computer interface normal form based on asymmetric brain electrical feature that the present invention designs is utilized brain and is rung to stimulation The spatial dissymmetry answered carries out sky to stimulation instructions, code, frequency, mixes coding, and the different parameters of normal form are adjustable to adapt to not With user demand and different application scene, and the normal form is not limited to the vision induced system illustrated in technical solution, also It can be applied to the different brain-computer interface systems such as brainstem auditory evoked, body-sensing induction;
2, the instruction set number that brain-computer interface system can be effectively extended using this method helps further to improve brain-machine Interfacing promotes the technology to be converted to application achievements.
Description of the drawings
Fig. 1 is midbrain of the present invention-machine interface system structural schematic diagram.
Fig. 2 is that the visual field divides in the present invention and schematic diagram is presented in stimulation.
Specific implementation mode
Below by specific embodiments and the drawings, the present invention is further illustrated.The embodiment of the present invention is in order to more So that those skilled in the art is more fully understood the present invention well, any limitation is not made to the present invention.
Brain laterality is a key areas in Cognitive Neuroscience, since brain structure and the laterality of function are imitated It answers, the brain electrical feature that different stimulated induces is there is also asymmetry, such as the asymmetric visual evoked potential that visual stimulus induces, Reflect the asymmetry of neuron activity between brain hemispheres.
The purport of the present invention is to propose that a kind of asymmetric brain electrical feature applied to brain-computer interface system induces normal form, profit With brain to the space offside of stimuli responsive be dominant characteristic to instruction carry out CDMA (Code Division Multiple Access, CDMA) and space division multiple access (Space Division Multiple Access, SDMA) hybrid coding, it introduces simultaneously Frequency division multiple access (Frequency Division Multiple Access, FDMA) with mutually divide multiple access (Phase Division Multiple Access, PDMA) coding strategy, effective expansion system instruction set number, what further research can improve Brain-computer interface system is expected to obtain considerable Social benefit and economic benefit.This invention can be used for disability rehabilitation, electricity The fields such as sub- amusement, Industry Control, further study the brain-computer interface system that can be improved, are expected to obtain considerable society It can benefit and economic benefit.It is realization process of the present invention as follows:
A kind of brain-computer interface hybrid coding normal form method based on asymmetric brain electrical feature, which is characterized in that including as follows Step:
Step 1, structure induces stimulating module in brain-computer interface system;
Step 2, the induction stimulating module send out hybrid coding signal to tester according to demand and form EEG signals;
Step 3, acquisition module after amplifying to EEG signals, being filtered by forming data information;
Data information is converted into instruction set and exported by step 4, the decoder module.
Step 2 divides multi-address coding in space division multiple access basis of coding edit code.
The hybrid coding for inducing stimulating module generation includes space division multiple access coding, CDMA coding, frequency division multiple access Be mutually divided in multiple access at least arbitrary two kinds of coded combinations.
The space division multiple access (Fig. 1):Using spatial information encode, up/down/left/right respectively represents four kinds of spatial informations, empty Between position increase, the information of coding increases
The CDMA:Based on space division multiple access strategy, four kinds of information of up/down/left/right are subjected to digital coding, can be compiled Code be " 0 " " 1 " " 2 " " 3 ", spatial information increase, coding can continue be incremented by (table 1 merely illustrates two kinds of spatial positional informations of left/right Coding) frequency division multiple access:The different time once stimulated can induce different frequency, as the stimulation of single 100ms persistently lures Send out the background brain wave frequency of 10Hz
The phase divides multiple access:The difference of stimulation initial time can change the phase of stimulation.
As shown in table 2, the hybrid coding for inducing stimulating module generation includes space division multiple access coding, CDMA volume Code and mutually divides multiple access at frequency division multiple access.The hybrid coding combined strategy includes:It is " left/right " code that the space division multiple access, which is compiled,;It is described CDMA is encoded to " 0/1 " CDMA dibit encoding;The frequency division multiple access is encoded to " 12Hz (single stimulation times 83.33ms's), 13 (single stimulation time 76.92ms'), 14 (single stimulation time 71.43ms'), 15 (single stimulate when Between 66.67ms), 16 (single stimulation time 62.5ms') " five kinds of frequencies mutually divide multi-address coding " 0 °/90 ° " codings with described, The hybrid coding strategy of 2x2x5x2=40 can be realized.
For inducing the asymmetric brain electrical feature of vision, Fig. 1 is that the brain-computer interface system structure of normal form of the present invention application is shown It is intended to.The system includes eeg collection systems and the calculating such as liquid crystal display stimulation interface, electrode for encephalograms and eeg amplifier The parts such as machine processing platform.System application normal form of the present invention carries out Induced by Stimulation, using the brain electricity of NeuroScan companies production Digital acquisition system acquires EEG signals, and by signal, input computer carries out correlometer after eeg amplifier amplification, filtering It calculates, BCI instructions is converted into after finally decoding EEG signals and are exported.Stimulation is presented and Data Management Analysis is based on Matlab platforms are completed.
When using the system, user is sitting on the chair away from stimulation interface certain distance, and sight is watched attentively at stimulation interface Center, as shown in "+" position in Fig. 2, in the stimulation meeting that different spatial (different locations such as upper and lower, left and right) occurs Different brain electrical feature signals is induced, is encoded that form space division more using the spatial position characteristic of these brain electrical feature signals Location coding strategy.By taking visual stimulus induces asymmetric VEP features as an example, stimulation occurs in the left and right visual field of user (as schemed 2) aVEP brain electrical feature signals, and in the correspondence spatial position of subject's brain are induced, that is, stimulate the meeting when left side occurs More obvious VEP features are induced in the right side occipital region of brain, and on right side, appearance then can be in the left side occipital region of brain for stimulation Induce more obvious VEP features.
The parameters such as shape, the area of stimulation can be adjusted according to different demands, be diameter 2mm's to be stimulated shown in Fig. 2 For white dot, it is encoded to 0 when stimulating the when of being generated in left visual field to define it, it is fixed when stimulation generates in the visual field of right side It is encoded to 1 to justice, utilizes " 0/1 " binary coding thought, and CDMA is added in the variation sequence according to stimulation in different moments Coding strategy, and then form empty, code hybrid coding strategy proposed by the present invention.For encoding 4 characters " AB ", " left/right " Space division multiple access encodes, and " 0/1 " CDMA dibit encoding can be completed, as shown in table 1.
Table 1 is empty, code hybrid coding strategy is illustrated
The difference of stimulation time can change the frequency characteristic (i.e. frequency division multiple access encodes) of lasting Induced by Stimulation, such as single The stimulation of 100ms persistently induces the background brain wave frequency of 10Hz, and the stimulation of single 50ms persistently induces the background brain electricity frequency of 20Hz Rate, and stimulate the difference of initial time that can change the phases (i.e. phase divides multi-address coding) of stimulation, with two kinds of frequencies (10/20Hz), It is as shown in table 2 to 8 character " A~H " coding signals for (0 °/90 °) codings of two kinds of phases, one volume of " 0/1 " CDMA Code can be completed.
2 sky of table, frequency, mixes coding strategy signal at code
Comparison Tables 1 and 2 can be seen that addition frequency, after phase coding strategy can effective expansion instruction set, pass through and increase code point The instruction set number of multi-address coding digit also scalable coding, and a stimulus duration and its duty ratio, stimulus sequence weight Multiple round, often the parameters such as wheel train interval time are adjusted in combination with actual conditions.EEG signals to collecting again It is decoded, to orient the character that user is watched attentively.By taking the stimulation normal form of 40 instruction set is realized in design as an example, by " left/ It is right " space division multiple access coding, " 0/1 " CDMA dibit encoding, " 12Hz (single stimulation time 83.33ms's), 13 (single thorns Swash time 76.92ms), 14 (single stimulation time 71.43ms'), 15 (single stimulation time 66.67ms'), 16 (singles Stimulation time 62.5ms's) " the frequency division multiple access codings of five kinds of frequencies.Table 2 lists, two kinds of spatial positions, double figures character code, and two The signal of the coding of a frequency and two phases, 40 characters of codified in the way of this kind, if increasing spatial position, Huo Zhepin Any one parameter such as rate or phase, can all increase the number for writing character
It should be understood that embodiment and example discussed herein simply to illustrate that, to those skilled in the art For, it can be improved or converted, and all these modifications and variations should all belong to the protection of appended claims of the present invention Range.

Claims (4)

1. a kind of brain-computer interface hybrid coding normal form method based on asymmetric brain electrical feature, which is characterized in that including walking as follows Suddenly:
Step 1, structure induces stimulating module in brain-computer interface system;
Step 2, the induction stimulating module send out hybrid coding signal to tester according to demand and form EEG signals;
Step 3, acquisition module after amplifying to EEG signals, being filtered by forming data information;
Data information is converted into instruction set and exported by step 4, the decoder module.
2. a kind of brain-computer interface hybrid coding normal form method based on asymmetric brain electrical feature according to claim 1, It is characterized in that, the hybrid coding for inducing stimulating module generation includes space division multiple access coding, CDMA coding, frequency division multiple access Be mutually divided in multiple access at least arbitrary two kinds of coded combinations.
3. a kind of brain-computer interface hybrid coding normal form method based on asymmetric brain electrical feature according to claim 2, It is characterized in that, the hybrid coding for inducing stimulating module generation includes space division multiple access coding, CDMA coding, frequency division multiple access With mutually divide multiple access.
4. a kind of brain-computer interface hybrid coding normal form method based on asymmetric brain electrical feature according to claim 3, It is characterized in that, the hybrid coding combined strategy includes:It is " left/right " code that the space division multiple access, which is compiled,;The CDMA coding For " 0/1 " CDMA dibit encoding;The frequency division multiple access is encoded to " 12Hz, 13Hz, 14Hz, 15Hz, 16Hz " five kinds of frequencies Mutually divide multi-address coding " 0 °/90 ° " codings with described, you can to realize the hybrid coding strategy of 2x2x5x2=40.
CN201810065388.1A 2018-01-23 2018-01-23 A kind of brain-computer interface hybrid coding normal form method based on asymmetric brain electrical feature Pending CN108469896A (en)

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PCT/CN2018/125927 WO2019144776A1 (en) 2018-01-23 2018-12-30 Coding-decoding method for brain-machine interface system based on asymmetric electroencephalographic features
US16/616,834 US11221672B2 (en) 2018-01-23 2018-12-30 Asymmetric EEG-based coding and decoding method for brain-computer interfaces

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Cited By (5)

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CN109567936A (en) * 2018-11-16 2019-04-05 重庆大学 A kind of brain machine interface system and implementation method paid attention to based on the sense of hearing with multifocal electro physiology
WO2019144776A1 (en) * 2018-01-23 2019-08-01 天津大学 Coding-decoding method for brain-machine interface system based on asymmetric electroencephalographic features
CN111580643A (en) * 2020-04-10 2020-08-25 天津大学 Brain-computer interface method based on steady-state asymmetric visual evoked potential
CN112882567A (en) * 2021-01-26 2021-06-01 华为技术有限公司 Man-machine interaction method, man-machine interaction device and storage medium
CN114167989A (en) * 2021-12-09 2022-03-11 太原理工大学 Brain-controlled spelling method and system based on visual and auditory inducement and stable decoding

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GB2474467A (en) * 2009-10-15 2011-04-20 Univ Nat Central Brain computer interface system using lights flashing at different phases and frequencies.
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CN105824418A (en) * 2016-03-17 2016-08-03 天津大学 Brain-computer interface communication system based on asymmetric visual evoked potential

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GB2474467A (en) * 2009-10-15 2011-04-20 Univ Nat Central Brain computer interface system using lights flashing at different phases and frequencies.
CN103150017A (en) * 2013-03-05 2013-06-12 天津大学 Brain-computer interface (BCI) communication method based on joint coding of space, time and frequency
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Publication number Priority date Publication date Assignee Title
WO2019144776A1 (en) * 2018-01-23 2019-08-01 天津大学 Coding-decoding method for brain-machine interface system based on asymmetric electroencephalographic features
US11221672B2 (en) 2018-01-23 2022-01-11 Tianjin University Asymmetric EEG-based coding and decoding method for brain-computer interfaces
CN109567936A (en) * 2018-11-16 2019-04-05 重庆大学 A kind of brain machine interface system and implementation method paid attention to based on the sense of hearing with multifocal electro physiology
CN111580643A (en) * 2020-04-10 2020-08-25 天津大学 Brain-computer interface method based on steady-state asymmetric visual evoked potential
CN111580643B (en) * 2020-04-10 2022-04-26 天津大学 Brain-computer interface method based on steady-state asymmetric visual evoked potential
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CN112882567B (en) * 2021-01-26 2022-11-04 华为技术有限公司 Man-machine interaction method, man-machine interaction device and storage medium
CN114167989A (en) * 2021-12-09 2022-03-11 太原理工大学 Brain-controlled spelling method and system based on visual and auditory inducement and stable decoding

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