CN105868562A - Nerve work efficiency enhancing method and device based on steady state visual evoked potential modulation - Google Patents

Nerve work efficiency enhancing method and device based on steady state visual evoked potential modulation Download PDF

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CN105868562A
CN105868562A CN201610204046.4A CN201610204046A CN105868562A CN 105868562 A CN105868562 A CN 105868562A CN 201610204046 A CN201610204046 A CN 201610204046A CN 105868562 A CN105868562 A CN 105868562A
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steady state
experimenter
work efficiency
evoked potential
stimulation
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韩莹
张力新
许敏鹏
王忠鹏
肖晓琳
王仲朋
綦宏志
明东
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Tianjin University
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    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/50ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for simulation or modelling of medical disorders

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Abstract

The invention relates to the technical field of medical rehabilitation instruments. Background electroencephalogram is adjusted through the characteristics of time locking and phase locking an between steady state visual evoked potential and visual stimulation, the background electroencephalogram is made to be in a state beneficial for an advanced cognition function modulation nervous system, the nerve work efficiency of the brain is enhanced to a certain degree, and substantial social benefits and economic benefits are expected to be acquired. According to a nerve work efficiency enhancing method based on steady state visual evoked potential modulation in the technical scheme, through the characteristics of time locking and phase locking between the steady state visual evoked potential and visual stimulation, the optimal simulation frequency is selected by detecting ERP relative constituent characteristics and behavioristic reaction time, steady state stimulation at the optimal stimulation frequency is put in a surrounding view field or displayed in a background color with certain transparency, and the electroencephalogram is adjusted through steady state stimulation at the optimal stimulation frequency. The method is mainly applied to medical rehabilitation instrument design and manufacture occasions.

Description

Neural work efficiency Enhancement Method based on Steady State Visual Evoked Potential modulation and device
Technical field
The present invention relates to technical field of medical rehabilitation machinery, particularly relate to neural work efficiency based on Steady State Visual Evoked Potential modulation and increase Intensity device.
Background technology
Brain electricity (Electroencephalogram, EEG) is the summation of Cortical Neurons cluster discharge effect, by thalamus macroscopic view Control and regulation, are the bases of central nervous system's physiological activity.The brain electricity life that human body is spontaneous under normal physiological, mental status Reason activity aggregate performance is referred to as spontaneous brain electricity (EEG) or background brain electricity.When to nerve system of human body with certain stimulus to the sense organ (as Vision, audition, body-sensing) or require that brain participates in big Electroencephalo during certain cognitive event (such as memory, mental arithmetic, attentions etc.) Activity will change with outside stimulus or cognitive event and cognitive psychological and produce BEP (Evoked Potential, EP). Evoked ptential (EP) is divided into two big classes: the exogenous Evoked ptential relevant with outside stimulus and the endogenous relevant with cognitive function Evoked ptential, the latter is also called event related potential (Event-Related Potential, ERP).Therefore, event related potential (ERP) it is a kind of special BEP, notes it being its basis produced, and identifies, compare, judge, remember, determine Break and wait cognitive psychological activity relevant, be referred to as " window " understanding brain soul activity.ERP can be senior as reflection brain because of it The objective characterisation method of thinking activities and be used widely in brain Cognitive Study.
ERP is to be produced by cognitive event Induced by Stimulation under spontaneous brain electricity (EEG) background, therefore ERP temporal signatures and stimulation thing Part has relation stabilization time, generally uses and triggers the superposed average method acquisition on the basis of the moment by event.According to time domain waveform just If ERP can be divided into dry ingredients by the time that negative peak occurs successively, and with its incubation period (peak value moment) and polarity (positive and negative) Name.The ERP of visual stimulus induction includes the compositions such as C1, P1, N1, N170.Positive composition P1 after stimulation 60~90ms Occurring, 100~130ms reach peak value, are mainly seen in occipital region, both sides, and to stimulus parameter, space transforms points to and experimenter wakes up up State sensitive, incubation period there is certain relation in the visual contrast with stimulation;After negative composition N1 occurs in P1 composition, if containing Dry subconstiuent: subconstiuent peak value occurs after stimulation 100~150ms the earliest, other subconstiuent peak value general the most after stimulation 150~200 Ms occurs, is originated from pushing up district and occipital region, both sides.
Note the basis being to produce ERP, there are some researches show, people response time (Reaction to visual stimulus when attention is concentrated Time, RT) generally it is shorter than when not concentrating, it is in the range of vision attention the early stage composition of the ERP signal of induction (as at the beginning of come from N1 and the P1 composition of level visual cortex) amplitude is of a relatively high, shows to notice that the neural response to stimulating has notable modulating action, Can improve input signal-to-noise ratio, Yi Huaqi is in characteristic processing and the model distinguishing process of senior cortex.There is research to investigate in the recent period comprehensively Affecting ERP generation mechanism factor, result shows, initial condition i.e. background brain electricity condition be worth special concern material impact because of Element.Background EEG can characterize neural state, has certain impact to neural information processing process, to god Through the stimuli responsive of system, there is certain modulating action.There are some researches show, in background brain electricity, the state of α ripple can predict that vision is stung Swashing can be perceived, and α ripple is consistent with mental status with the cognitive state that the P1 composition in ERP is reflected;Note for The modulating action of nervous system cognitive function has periodically, and this cycle is closely related with θ ripple in background brain electricity.2013, Fernando et al. summarizes three functions having been demonstrated about background brain electricity, respectively encodes customizing messages, modulates Attention state residing for brain, the contact ensured between nervous system neuronal.
Summary of the invention
For overcoming the deficiencies in the prior art, it is contemplated that utilize the characteristic phase-locked when locking of Steady State Visual Evoked Potential with visual stimulus Background brain electricity is adjusted so that it is be in beneficially higher cognitive function and modulate neural state, it is achieved to a certain degree The neural work efficiency of upper enhancing brain, is expected to obtain considerable Social benefit and economic benefit.The technical solution used in the present invention is, Neural work efficiency Enhancement Method based on Steady State Visual Evoked Potential modulation, utilizes and locks between Steady State Visual Evoked Potential and visual stimulus The characteristic of Shi Suoxiang, picks out optimal stimulus frequency by detection ERP Related Component characteristic and Behavioral reaction time, will be optimal The stable state stimulation of stimulus frequency is placed in circle-of-sight visibility or presents to have the background color of certain transparency, utilizes optimal stimulus frequency Stable state stimulate regulation brain electricity.
Concrete steps are further refined as, and utilize E-prime software platform editor's visual stimulus, use electrode for encephalograms and brain electricity number Word acquisition system gathers eeg data;Experimenter is made undisturbedly to be seated on the arm-chair away from screen about 60cm during experiment, according to prompting Watch the visual stimulus on computer screen attentively, and complete as requested to distinguish task;In the process, the EEG signals of experimenter Gathered by electrode for encephalograms, be responsible in the computer of data acquisition, by NeuroScan via input after eeg amplifier amplification, filtering Software records and storage, the eeg data collected processes through follow-up data, carries out the corresponding ingredient properties of ERP point Analysis;Experimenter performs the response time of task by E-prime software records.
Use optimal stimulus frequency stable state stimulate regulation brain electricity be by visual stimulus, visual stimulus by E-Prime software produce, Output to liquid crystal display screen shows;Target stimulation is the circle being positioned at screen center, and about 2 ° of visual angle, background is Lycoperdon polymorphum Vitt about, right Answer RGB colorimetric system coordinate (0.5,0.5,0.5), stable state stimulate by black (0,0,0) and pure white (1,1,1) two kinds of target stimulations with The flicker composition of different frequency, makes SSVEP stimulate in task and moment vibration and 15Hz two kinds of shapes of vibration in 10Hz respectively occurs State, gives stimulation of going out on missions on this basis, makes experimenter complete task as requested, records experimenter's brain electricity number during this period According to behavioristics's data;In addition arranging two matched groups, matched group only presents ater in stable state stimulation part to stimulate or pure White stimulates.
Task includes following form: provide blueness or yellow picture at random, it is desirable to experimenter is according to occurring that picture color carries out difference Button reaction, occur that blueness then presses digital 1 key, occur that yellow then presses digital 2 keys.
Record experimenter's eeg data during this period and behavioristics's data are that data are extracted and analyzed, and specifically, reference electrode selects Select the average of left and right ear mastoid process, take in electrode for encephalograms and carry out convert reference with the Oz leads of 10/20 systematic naming method, cut up and down Only frequency is respectively 2Hz and 18Hz bandpass filtering, labeling extracts, valid data section intercepts, Denoising disposal step, Obtain the eeg data of relative clean;Take two time windows after instantaneous stimulation occurs calculate the amplitude of P1 with N1 composition and hide Phase, add up experimenter's response time when performing to distinguish task under various brain electricity background condition;To the P1 in experimenter ERP Composition carries out statistical analysis with N1 composition amplitude the Behavioral reaction time with incubation period and experimenter, when background brain electric oscillation frequency When rate is the 10Hz being in α wave band, the P1 composition induced and N1 composition have amplitude more compared to 15Hz and matched group Greatly, shorter tendency incubation period, also have shorter tendency when experimenter reacts;Wherein, O represents occipital lobe (Occipital), z table Show that this electrode is through the warp being drawn as with the nasion and occipital protuberance.
The stable state using optimal stimulus frequency stimulates regulation brain electricity particularly as follows: utilize central authorities' cross on screen to represent main task and stimulate, Upper left side black or white circular then stimulate for stable state;When user executive director is engaged in, stable state stimulates synchronization to occur, makes experimenter's brain Neutral net is in the state being of value to higher cognitive function generation modulating action, strengthens the neural work efficiency of user;Maybe can be by stable state Stimulate and be set to the background that main task stimulates, with different color backgrounds, user is carried out stable state stimulation, play similar effect.
Neural work efficiency intensifier based on Steady State Visual Evoked Potential modulation, including electrode for encephalograms and brain electricity digital acquisition system, Computer, eeg amplifier, wave filter, data collecting card, computer stimulates and task stimulation for generating stable state on screen, Stable state stimulates as the circle that is positioned on screen, about 2 ° of visual angle, and background is Lycoperdon polymorphum Vitt about, corresponding RGB colorimetric system coordinate (0.5, 0.5,0.5), stable state stimulation is made up of with the flicker of different frequency black (0,0,0) and pure white (1,1,1) two kinds of target stimulations, makes SSVEP stimulates in task and moment vibration and 15Hz vibration two states in 10Hz respectively occurs, and is gone out on missions on this basis Stimulating, the EEG signals of experimenter is gathered by electrode for encephalograms, is responsible for via input after eeg amplifier amplification, filter filtering The data collecting card of data acquisition enters in computer.
Being provided with E-Prime module on computer, visual stimulus is produced by E-Prime module, output to liquid crystal display screen shows.
The feature of the present invention and providing the benefit that:
Background EEG is typically considered random noise, and the present invention adds background brain electricity before carrying out visual stimulus task The stable state that signal plays regulatory role stimulates, and makes background EEG be in state relatively uniform, that can control, can be by adjusting Stable state stimulate parameter can make nervous system be in be prone to higher cognitive function produce modulating action state, in actual applications, The stable state of characteristic frequency is stimulated and is placed in circle-of-sight visibility or presents to have the background color of certain transparency, to realize strengthening brain The effect of cortex neural work efficiency.
Accompanying drawing illustrates:
The experiment flow schematic diagram of Fig. 1 present invention.
Stable state in Fig. 2 present invention stimulates example.
The stimulation of Fig. 3 stable state is placed in main task stimulates example around.
Detailed description of the invention
Devise a kind of neural work efficiency Enhancement Method based on Steady State Visual Evoked Potential modulation.Cerebral cortex is to fixed frequency weight The response of existing visual stimulus of appearing again be referred to as Steady State Visual Evoked Potential (Steady-State Visual-Evoked Potentia, SSVEP), i.e. when people stimulates in the flicker by a certain frequency, brain electricity can present the response consistent with stimulus frequency or its harmonic wave. The design utilizes characteristic phase-locked when locking between Steady State Visual Evoked Potential and visual stimulus, uses the stable state of characteristic frequency to stimulate and adjusts Joint brain electricity, make brain cortex neural network be in beneficially note, distinguish, the senior cognitive function such as detecting produces modulating action State, it is possible to strengthen the neural work efficiency of brain to a certain extent.
Its techniqueflow is: designs and stimulates and visual detection main task with the stable state vision of characteristic frequency flicker, builds EEG signals Harvester, under experimental system instructs, experimenter completes and higher cognitive merit under conditions of stable state stimulates modulation background brain electricity The experimental duties that can be correlated with, operator records EEG signals data and behavioristics's data of experimenter, processes after being stored And analysis, find out can make experimenter's brain cortex neural network be in be of value to higher cognitive function produce modulating action state steady State stimulus frequency.When user carries out inter-related task, stable state is stimulated and is placed in circle-of-sight visibility or to have the background of certain transparency Color presents, in order to strengthen the neural work efficiency of brain.
Background brain electricity is considered to have stronger randomness, is difficult to find that and is available for detection or the Rule Information that controls (such as oscillatory rhythms or rule Rule phase place), it is contemplated that background brain electricity is adjusted by the characteristic utilizing Steady State Visual Evoked Potential phase-locked when locking with visual stimulus, It is at beneficially higher cognitive function and modulates neural state, anti-by detection ERP Related Component characteristic and behavioristics Optimal stimulus frequency is picked out between Ying Shi.In actual application, the stable state of characteristic frequency is stimulated and is placed in circle-of-sight visibility or to have one The background color determining transparency presents, it is possible to strengthen the neural work efficiency of brain to a certain extent, is expected to obtain considerable society's effect Benefit and economic benefit.
Fig. 1 is the experiment flow schematic diagram of the present invention.This design E-prime software platform editor's visual stimulus, uses Neurosky Electrode for encephalograms and SynAmps2 brain electricity digital acquisition system that company produces gather brain electricity.Experimenter is made undisturbedly to be seated at during experiment On arm-chair away from screen about 60cm, watch the visual stimulus on computer screen attentively according to prompting, and complete as requested to distinguish and appoint Business.In the process, the EEG signals of experimenter is gathered by electrode for encephalograms, inputs via after eeg amplifier amplification, filtering Being responsible in the computer of data acquisition, by NeuroScan software records and storage, the eeg data collected is through follow-up Data process, and are analyzed the corresponding ingredient properties of ERP.Experimenter performs the response time of task and is remembered by E-prime software Record.
Stable state vision stimulates design
Visual stimulus is produced by E-Prime software, output to 19 inch liquid crystal screens shows (refresh rate is 60Hz);Target stimulation is Being positioned at the circle (about 2 ° of visual angle) of screen center, background is Lycoperdon polymorphum Vitt about, corresponding RGB colorimetric system coordinate (0.5,0.5,0.5), As shown in Figure 2.Stable state stimulation is made up of with the flicker of different frequency black (0,0,0) and pure white (1,1,1) two kinds of target stimulations, Make SSVEP stimulate in task and moment vibration and 15Hz vibration two states in 10Hz respectively occurs, taken the post as on this basis Business stimulates, and makes experimenter complete task, record experimenter's eeg data during this period and behavioristics's data as requested.Except this Outside two matched groups are set, matched group stable state stimulation part only present ater stimulate or pure white stimulate.
Data are extracted and are analyzed
Take that Oz leads carries out the convert reference average of left and right ear mastoid process (reference electrode select), bandpass filtering (ends up and down Frequency is respectively 2Hz and 18Hz), labeling extract (during experiment, various types of stimulations are marked with same label, Tag extraction is out carried out data classification by off-line data when processing), valid data section intercepts (stimulates the moment occurred to be with task 0 moment, the data of intercepting ± 600ms), denoising etc. process step, obtain the eeg data of relative clean, choose at the beginning of being positioned at The Oz leads of level visual cortex carries out follow-up signal analysis.Take two time windows (110~130 after instantaneous stimulation occurs Ms), (180~200ms) calculate the amplitude of P1 Yu N1 composition and incubation period, add up experimenter under various brain electricity background condition and exist Perform to distinguish response time during task.To the P1 composition in experimenter ERP and N1 composition amplitude and incubation period and experimenter The Behavioral reaction time carries out statistical analysis, when background brain electric oscillation frequency is the 10Hz being in α wave band, and the P1 induced Composition has, compared to 15Hz and matched group, the tendency that amplitude is bigger, incubation period is shorter with N1 composition, also has when experimenter reacts Shorter tendency.The ERP of visual stimulus induction includes C1, and (positive-negative polarity is indefinite, identifies with C;80-100ms after stimulation Peak value there is, therefore named C1), P1 (the positive composition (positive) of peak value occurs in 100-130ms after stimulation, therefore named P1), N1 (the negative composition (negative) of peak value occurs in 100-200ms after stimulation, therefore named N1), N170 (170-200 after stimulation There is the positive composition (negative) of peak value in ms, therefore named N170) etc. composition.
Stable state stimulate be applied to higher cognitive function inter-related task due to Steady State Visual Evoked Potential can under the conditions of stealth notes right User's brain electricity produces regulation effect, stable state can be stimulated and be placed in user within sweep of the eye, and main task stimulates around, as it is shown on figure 3, Central authorities' cross represents main task to stimulate, and upper left side black or white circular then stimulate for stable state.When user executive director is engaged in, stable state is stung Swash and synchronize appearance, make experimenter's cerebral nerve network be in the state being of value to higher cognitive function generation modulating action, strengthen and use The neural work efficiency at family.Maybe stable state can be stimulated and be set to the background that main task stimulates, with different color backgrounds, user be carried out surely State stimulates, and can play similar effect.
The invention provides a kind of method that can strengthen neural work efficiency, this invention can make higher cognitive function for brain skin The neural modulating action of layer strengthens, and can be used for the treatments of cognitive function disease such as attention deficit disorder, idea control class electricity The fields such as sub-amusing products, Industry Control, are expected to obtain considerable Social benefit and economic benefit.

Claims (8)

1. a neural work efficiency Enhancement Method based on Steady State Visual Evoked Potential modulation, is characterized in that, utilize Steady State Visual Evoked Potential And characteristic phase-locked during lock between visual stimulus, is picked out by detection ERP Related Component characteristic and Behavioral reaction time Optimal stimulus frequency, stimulates the stable state of optimal stimulus frequency and is placed in circle-of-sight visibility or to have the background color of certain transparency Present, utilize the stable state of optimal stimulus frequency to stimulate regulation brain electricity.
2. the neural work efficiency Enhancement Method modulated based on Steady State Visual Evoked Potential as claimed in claim 1, is characterized in that, specifically walk Suddenly it is further refined as, utilizes E-prime software platform editor's visual stimulus, use electrode for encephalograms and brain electricity digital collection system System gathers eeg data;Make experimenter undisturbedly be seated on the arm-chair away from screen about 60cm during experiment, watch meter attentively according to prompting Visual stimulus on calculation machine screen, and complete as requested to distinguish task;In the process, the EEG signals of experimenter is passed through Electrode for encephalograms gathers, and is responsible in the computer of data acquisition, by NeuroScan via input after eeg amplifier amplification, filtering Software records and storage, the eeg data collected processes through follow-up data, enters the corresponding ingredient properties of ERP Row is analyzed;Experimenter performs the response time of task by E-prime software records.
3. the neural work efficiency Enhancement Method modulated based on Steady State Visual Evoked Potential as claimed in claim 2, is characterized in that, uses The stable state of good stimulus frequency stimulates regulation brain electricity to be by visual stimulus, and visual stimulus is produced by E-Prime software, exports extremely Liquid crystal display screen shows;Target stimulation is the circle being positioned at screen center, about 2 ° of visual angle, and background is Lycoperdon polymorphum Vitt about, corresponding RGB colorimetric system coordinate (0.5,0.5,0.5), stable state stimulate by black (0,0,0) and pure white (1,1,1) two kinds of target stimulations with The flicker composition of different frequency, makes SSVEP stimulate in task and moment vibration and 15Hz vibration two in 10Hz respectively occurs Kind of state, gives stimulations of going out on missions on this basis, make experimenter complete task as requested, records experimenter during this period Eeg data and behavioristics's data;In addition arranging two matched groups, matched group only presents ater in stable state stimulation part Stimulate or pure white stimulates.
4. the neural work efficiency Enhancement Method modulated based on Steady State Visual Evoked Potential as claimed in claim 2, is characterized in that, task bag Include following form: provide blueness or yellow picture at random, it is desirable to experimenter is anti-according to occurring that picture color carries out different buttons Should, occur that blueness then presses digital 1 key, occur that yellow then presses digital 2 keys.
5. the neural work efficiency Enhancement Method modulated based on Steady State Visual Evoked Potential as claimed in claim 3, is characterized in that, record is subject to Examination person's eeg data during this period and behavioristics's data are that data are extracted and analyzed, and specifically, reference electrode selects left and right ear The average of mastoid process, takes in electrode for encephalograms and carries out convert reference, upper and lower cutoff frequency with the Oz leads of 10/20 systematic naming method Rate is respectively 2Hz and 18Hz bandpass filtering, labeling extracts, valid data section intercepts, Denoising disposal step, Obtain the eeg data of relative clean;Take two time windows after instantaneous stimulation occurs calculate P1 Yu N1 compositions amplitude and Incubation period, add up experimenter's response time when performing to distinguish task under various brain electricity background condition;To experimenter ERP In P1 composition and N1 composition amplitude carry out statistical analysis the Behavioral reaction time with incubation period and experimenter, work as background When brain electric oscillation frequency is the 10Hz being in α wave band, the P1 composition induced and N1 composition are compared to 15Hz and right Have, according to group, the tendency that amplitude is bigger, incubation period is shorter, when experimenter reacts, also have shorter tendency;Wherein, O represents occipital lobe (Occipital), z represents that this electrode is through the warp being drawn as with the nasion and occipital protuberance.
6. the neural work efficiency Enhancement Method modulated based on Steady State Visual Evoked Potential as claimed in claim 3, is characterized in that, uses The stable state of good stimulus frequency stimulates regulation brain electricity particularly as follows: utilize central authorities' cross on screen to represent main task and stimulate, and upper left side is black Color or white circular then stimulate for stable state;When user executive director is engaged in, stable state stimulates synchronization to occur, makes experimenter's cerebral nerve net Network is in the state being of value to higher cognitive function generation modulating action, strengthens the neural work efficiency of user;Maybe stable state can be stimulated It is set to the background that main task stimulates, with different color backgrounds, user is carried out stable state stimulation, play similar effect.
7. a neural work efficiency intensifier based on Steady State Visual Evoked Potential modulation, is characterized in that, based on Steady State Visual Evoked Potential The neural work efficiency intensifier of modulation, including electrode for encephalograms and brain electricity digital acquisition system, computer, eeg amplifier, filter Ripple device, data collecting card, computer stimulates and task stimulation for generating stable state on screen, and stable state stimulates as being positioned at screen On circle, about 2 ° of visual angle, background is Lycoperdon polymorphum Vitt about, corresponding RGB colorimetric system coordinate (0.5,0.5,0.5), stable state Stimulate and be made up of with the flicker of different frequency black (0,0,0) and pure white (1,1,1) two kinds of target stimulations, make SSVEP exist Task stimulates and moment vibration and 15Hz vibration two states in 10Hz respectively occurs, and gives stimulation of going out on missions on this basis, The EEG signals of experimenter is gathered by electrode for encephalograms, is responsible for data via input after eeg amplifier amplification, filter filtering The data collecting card gathered enters in computer.
8. the neural work efficiency Enhancement Method modulated based on Steady State Visual Evoked Potential as claimed in claim 6, is characterized in that, computer On be provided with E-Prime module, visual stimulus is produced by E-Prime module, output shows to liquid crystal display screen.
CN201610204046.4A 2016-03-31 2016-03-31 Nerve work efficiency enhancing method and device based on steady state visual evoked potential modulation Pending CN105868562A (en)

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Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106445140A (en) * 2016-09-26 2017-02-22 苏州神经元电子科技有限公司 Unattended event related potential brain-machine interface method based on automatic identification of static visual field
CN107296586A (en) * 2017-06-20 2017-10-27 黄涌 Collimation error detection device/method and writing system/method based on the equipment
WO2018053886A1 (en) * 2016-09-26 2018-03-29 苏州大学 Non-attended event related potential brain-computer interface method for color sensation automatic identification
CN109688918A (en) * 2016-09-09 2019-04-26 国立研究开发法人情报通信研究机构 Autopsychorhythmia frequency modulating device
FR3128869A1 (en) * 2021-11-09 2023-05-12 Orange Advanced detection of evoked potentials

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101477405A (en) * 2009-01-05 2009-07-08 清华大学 Stable state vision inducting brain-machine interface method based on two frequency stimulation of left and right view field
CN102319067A (en) * 2011-05-10 2012-01-18 北京师范大学 Nerve feedback training instrument used for brain memory function improvement on basis of electroencephalogram
CN103019382A (en) * 2012-12-17 2013-04-03 北京大学 Brain-computer interaction method for reflecting subjective motive signals of brain through induced potentials
CN104536573A (en) * 2014-12-30 2015-04-22 天津大学 Brain-computer interface method based on high-frequency flicker emotional simulation

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101477405A (en) * 2009-01-05 2009-07-08 清华大学 Stable state vision inducting brain-machine interface method based on two frequency stimulation of left and right view field
CN102319067A (en) * 2011-05-10 2012-01-18 北京师范大学 Nerve feedback training instrument used for brain memory function improvement on basis of electroencephalogram
CN103019382A (en) * 2012-12-17 2013-04-03 北京大学 Brain-computer interaction method for reflecting subjective motive signals of brain through induced potentials
CN104536573A (en) * 2014-12-30 2015-04-22 天津大学 Brain-computer interface method based on high-frequency flicker emotional simulation

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
张力新 等: "基于Chirplet变换的变频视觉诱发电位脑-机接口研究", 《纳米技术与精密工程》 *
许敏鹏 等: "基于SSVEP阻断与P300特征的混合范式脑-机接口", 《电子学报》 *
郑军: "基于稳态视觉诱发电位的脑-机接口实现与研究", 《中国优秀硕士学位论文全文数据库 信息科技辑》 *
韩莹 等: "注意力对视觉刺激响应的调制作用", 《纳米技术与精密工程》 *

Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109688918A (en) * 2016-09-09 2019-04-26 国立研究开发法人情报通信研究机构 Autopsychorhythmia frequency modulating device
CN109688918B (en) * 2016-09-09 2021-08-31 国立研究开发法人情报通信研究机构 Brain rhythm frequency modulation device
CN106445140A (en) * 2016-09-26 2017-02-22 苏州神经元电子科技有限公司 Unattended event related potential brain-machine interface method based on automatic identification of static visual field
WO2018053886A1 (en) * 2016-09-26 2018-03-29 苏州大学 Non-attended event related potential brain-computer interface method for color sensation automatic identification
CN106445140B (en) * 2016-09-26 2018-12-25 苏州神经元电子科技有限公司 The non-attention event related potential brain-computer interface method of quiet visual field automatic identification
CN107296586A (en) * 2017-06-20 2017-10-27 黄涌 Collimation error detection device/method and writing system/method based on the equipment
FR3128869A1 (en) * 2021-11-09 2023-05-12 Orange Advanced detection of evoked potentials
WO2023083755A1 (en) * 2021-11-09 2023-05-19 Orange Improved detection of evoked potentials

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