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Motor imagery brain-computer interface control method based on noninvasive electrical stimulation

A control method and motion imagery technology, applied in computer components, mechanical mode conversion, electrical digital data processing, etc., can solve problems such as inability to improve users' spontaneous adjustment of SMR skills, user fatigue and discomfort, and ineffective effects, etc., and achieve relief Learning burden, low hardware resource requirements, enhanced excitability effects

Active Publication Date: 2016-11-09
深圳中科华意科技有限公司
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Problems solved by technology

Moreover, as wearable devices become more and more popular, small size, light weight, and low power consumption have become an inevitable trend in the development of hardware devices. It is not a small challenge to run complex algorithms on these devices. Therefore, the above methods are practical. The effect is not obvious in the application
[0007] Second, from the user's point of view, the user's adaptation to the motor imagery BCI system requires repeated feedback training. Although this is generally imagined, it does cause a burden to the user and make the user feel tired and uncomfortable
Because no matter how accurate the classification algorithm is, it cannot improve the user's ability to adjust SMR spontaneously

Method used

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  • Motor imagery brain-computer interface control method based on noninvasive electrical stimulation
  • Motor imagery brain-computer interface control method based on noninvasive electrical stimulation
  • Motor imagery brain-computer interface control method based on noninvasive electrical stimulation

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Embodiment Construction

[0040]The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0041] figure 1 It is a schematic flowchart of a motor imagery brain-computer interface control method based on non-invasive electrical stimulation according to an embodiment of the present invention. Such as figure 1 As shown, the above-mentioned control method mainly includes the following steps:

[0042] Step S1, applying anode non-invasive electrical stimulation of brain function to the user's primary motor cortex.

[0043] During specific implementation...

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Abstract

The invention provides a motor imagery brain-computer interface control method based on noninvasive electrical stimulation. The control method comprises the following steps: applying anode noninvasive brain function electrical stimulation on the primary motor cortex of a user; collecting an electroencephalography original signal after the user executes a motor imagery task, and extracting an event-related desynchronization signal and / or event-related synchronization signal from the electroencephalography original signal; carrying out quantification processing on the event-related desynchronization signal and / or event-related synchronization signal to obtain the average power of the event-related desynchronization signal and / or event-related synchronization signal in a Lower[Mu] waveband, an Upper[Mu] waveband and a [Beta] waveband; carrying out feature extraction on the event-related desynchronization signal and / or event-related synchronization signal to obtain the feature values of the event-related desynchronization signal and / or event-related synchronization signal; and according to the average power, classifying the feature values to obtain a control instruction, wherein the control instruction is used for controlling a feedback training normal form.

Description

technical field [0001] The invention relates to the technical field of brain-computer interface control, in particular to a motor imagery brain-computer interface control method based on non-invasive electrical stimulation. Background technique [0002] Brain-Computer Interface (BCI) is a system that can transmit information to the world outside the brain and provide alternative pathways. It is widely used in sports training, communication, entertainment and other fields. At present, the most mature BCI system is mainly based on the EEG (Electroencephalography, EEG) BCI system. This BCI system collects the EEG signal of the scalp, and extracts and classifies the features of this signal to extract the brain activity intention. signal, so as to achieve the purpose of control and communication. [0003] BCI based on motor imagery (Motor Imagery, MI) means that users spontaneously adjust their own sensorimotor rhythm (Sensorimotor Rhythm, SMR) by imagining a certain movement pr...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F3/01G06K9/62
CPCG06F3/015G06F2203/011G06F18/2411
Inventor 蔚鹏飞黄康王立平
Owner 深圳中科华意科技有限公司
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