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SSVEP brain-computer interface asynchronous control system

A technology of asynchronous control and machine interface, applied in the field of human-computer interaction, can solve the problems of sending instructions not completely according to the user's intention and limited application, and achieve the effect of high practical value, fast response speed, and simple strategy

Pending Publication Date: 2019-04-19
TIANJIN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

A typical SSVEP-BCI uses potentials evoked by visual stimuli flickering at a fixed frequency to convert the user's visual activity into actual commands, which has high speed and stability, but the user needs to follow the start and end instructions of the brain-computer interface system. To achieve brain control at all times, people need to follow the rhythm of the brain-computer interface system. This kind of synchronous brain-computer interface system has limited application in real life, and the system does not send instructions completely according to the user's intention.

Method used

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  • SSVEP brain-computer interface asynchronous control system
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  • SSVEP brain-computer interface asynchronous control system

Examples

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Effect test

Embodiment 1

[0062] The structure of an asynchronous control system of SSVEP brain-computer interface is as follows: figure 1 As shown, it includes the following parts: steady-state evoked visual stimulation module, EEG acquisition module such as EEG electrodes and EEG amplifiers, data preprocessing module, frequency identification module, and asynchronous classification module.

[0063] The use of this system involves the following sequential steps:

[0064] S101. The stimulation frequency adopts (but not limited to) 8, 9, 10, 11, 12, 13, 14, 15 Hz, and the user watches the target stimulation according to the needs to generate scalp EEG signals;

[0065] S102. The EEG acquisition channel adopts (but not limited to) the leads POz, Oz, O1, O2, PO3, PO4, PO5, and PO6 located in the occipital area, and collects the top of the head signal as a reference, and the front of the forehead as a grounding channel; electrode cap acquisition Scalp EEG signal, after the EEG amplifier, transmits the sig...

Embodiment 2

[0072] The structure of an asynchronous control system of SSVEP brain-computer interface is as follows: figure 1 As shown, it includes the following parts: steady-state evoked visual stimulation module, EEG acquisition module such as EEG electrodes and EEG amplifiers, data preprocessing module, frequency identification module, and asynchronous classification module.

[0073] The use of this system involves the following sequential steps:

[0074] S201. Stimulation frequency adopts (but not limited to) 8, 9, 10, 11, 12, 13, 14, 15Hz, and the user focuses on the target stimulation as needed to generate scalp EEG signals;

[0075] S202. The EEG acquisition channel adopts (but not limited to) the leads POz, Oz, O1, O2, PO3, PO4, PO5, and PO6 located in the occipital area, and collects the top of the head signal as a reference, and the front of the forehead as a grounding channel; electrode cap acquisition The scalp EEG signal is transmitted to the data preprocessing module inside...

Embodiment 3

[0083] The structure of an asynchronous control system of SSVEP brain-computer interface is as follows: figure 1 As shown, it includes the following parts: steady-state evoked visual stimulation module, EEG acquisition module such as EEG electrodes and EEG amplifiers, data preprocessing module, frequency identification module, and asynchronous classification module.

[0084] The use of this system involves the following sequential steps:

[0085] S301. The stimulation frequency adopts (but not limited to) 8, 9, 10, 11, 12, 13, 14, 15Hz, and the user watches the target stimulation according to the needs to generate scalp EEG signals;

[0086] S302. The EEG acquisition channel adopts (but not limited to) the leads POz, Oz, O1, O2, PO3, PO4, PO5, and PO6 located in the occipital area, and collects the top of the head signal as a reference, and the front of the forehead as a grounding channel; electrode cap acquisition The scalp EEG signal is transmitted to the data preprocessing...

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Abstract

The invention discloses an SSVEP brain-computer interface asynchronous control system. The asynchronous control system comprises a frequency identification module and an asynchronous classification module, collected electroencephalogram data is subjected to data processing to extract corresponding steady-state visual evoked characteristic signals, the steady-state visual evoked characteristic signals are used for mode identification of experiment tasks, and after an instruction with the maximum possibility is identified, the instruction enters the asynchronous classification module corresponding to the instruction; The frequency identification module adopts a feature extractor to extract signal features reflecting user intention from electroencephalogram from the preprocessing part, processes the obtained signal features by using a correlation analysis method, and finds out the frequency with the maximum correlation coefficient; And the asynchronous classification module is used for judging whether the instruction is a control instruction or an idle instruction, when the instruction is output, feedback exists below the corresponding stimulus block, and otherwise, no feedback existson the screen. According to the method, the frequency is identified firstly, and then the control state and the idle state are identified on the basis of frequency identification, so that the feasibility of the current state (control state / idle state) of the brain of the user is judged.

Description

technical field [0001] The invention relates to the technical field of human-computer interaction, and in particular to an asynchronous control system and method of an SSVEP (Steady State Visual Evoked Potential) brain-computer interface. Background technique [0002] Brain Computer Interface (BCI) based on Steady State Visual Evoked Potentials (SSVEP) is one of the most popular BCI paradigms. A typical SSVEP-BCI uses potentials evoked by visual stimuli flickering at a fixed frequency to convert the user's visual activity into actual commands, which has high speed and stability, but the user needs to follow the start and end instructions of the brain-computer interface system. To achieve brain control at all times, people need to follow the rhythm of the brain-computer interface system. This kind of synchronous brain-computer interface system has limited application in real life, and the system does not send instructions completely according to the user's intention. The asy...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F3/01G06K9/62G06F17/14G01R23/16
CPCG06F3/015G06F17/14G01R23/16G06F2203/011G06F18/253
Inventor 杜佳乐柯余峰明东张裕坤王仲朋宋西姊何峰
Owner TIANJIN UNIV
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