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Brain control system based on non-invasive brain-computer interface and implementation method thereof

A brain-computer interface, non-invasive technology, applied in the field of brain-control system based on non-invasive brain-computer interface, can solve problems such as expensive, immature technology, and heavy equipment, and achieve the effect of improving accuracy

Pending Publication Date: 2021-08-24
NANCHANG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] At present, domestic brain-computer interface equipment mostly depends on foreign countries, and the equipment is expensive, heavy, and the technology is not mature enough, so it is difficult to widely apply the brain-controlled system. bright future

Method used

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  • Brain control system based on non-invasive brain-computer interface and implementation method thereof
  • Brain control system based on non-invasive brain-computer interface and implementation method thereof
  • Brain control system based on non-invasive brain-computer interface and implementation method thereof

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Embodiment 1

[0048] Embodiment 1, one aspect of this embodiment provides a brain control system based on a non-invasive brain-computer interface, such as figure 1 shown, including:

[0049] The signal acquisition module provides the imagination induction of the brain and the electrical signal acquisition of the cerebral cortex;

[0050] The signal preprocessing module cuts the collected electrical signals and eliminates useless signals. Then, a 5th-order Butterworth filter is used to filter the signal to obtain a signal of 8-30 Hz. Use Fisher criterion theory to calculate the power spectral density of the signal, and select the channel with high discrimination;

[0051] The feature extraction module uses the improved power spectral density method to perform feature extraction on the processed signal to obtain the feature value;

[0052] A classifier modeling module, using feature values ​​for classifier modeling;

[0053] The signal conversion module preprocesses the real-time EEG sign...

Embodiment 2

[0097] Embodiment 2, one aspect of this embodiment provides a brain control system based on a non-invasive brain-computer interface, such as figure 2 shown, including:

[0098] The signal acquisition module provides the imagination induction of the brain and the electrical signal acquisition of the cerebral cortex;

[0099] The signal preprocessing module cuts and processes the collected electrical signal, and then filters the signal with a 5th-order Butterworth filter to obtain an 8-30Hz signal. Afterwards, the Fisher criterion function was used to judge the power spectral density of the signal, and the separability of each electrode signal was measured and sorted. Finally, the 15 electrodes with the strongest separability were selected.

[0100]The feature projection matrix building module uses the processed signal to build the feature projection matrix first, and extracts the features of the signal through the projection matrix, and then uses the power spectral density me...

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Abstract

The invention provides a brain control system based on a non-invasive brain-computer interface and an implementation method thereof. The brain control system comprises two systems, the second system is an extension and improvement of the first system, and the second system comprises a signal acquisition module for providing brain imagination induction and cerebral cortex electric signal acquisition; a signal preprocessing module is used for processing the collected electric signals; a feature projection matrix establishment module is used for establishing a feature projection matrix by using the signals and performing feature extraction, then extracting features by using an improved power spectral density method, and merging the feature values extracted by the two methods to obtain a final feature value. a classifier modeling module applies the characteristic values to classifier modeling; a signal conversion module is used for converting the real-time electroencephalogram signal into a control instruction. Aiming at brain-computer interface control, a new scheme is added for brain-computer interface control, a motor imagery signal of a brain can be converted into a control instruction to carry out control manipulation on the outside, and the accuracy of electroencephalogram signal judgment is greatly improved.

Description

technical field [0001] The invention relates to the technical field of brain-computer interface, in particular to a brain-control system based on a non-invasive brain-computer interface and an implementation method thereof. Background technique [0002] Different from traditional control devices, brain-computer interface control is a new type of technology that does not rely on the triggering of the body's neural network and muscles, but directly reads signals from the cerebral cortex, allowing the brain to directly control external devices. This technology involves various interdisciplinary subjects, such as neurology, signal processing, signal conversion, etc., and is a hot research topic at present. [0003] For the moment, this technology can serve patients with nerve or limb injuries very well, allowing them to issue instructions to the equipment directly through the brain to achieve rehabilitation, or enabling them to manipulate various equipment to live more autonomou...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/374A61B5/377A61B5/372G06K9/00G06K9/62
CPCA61B5/7225A61B5/7264G06F2218/04G06F2218/08G06F2218/12G06F18/24G06F18/214
Inventor 胡凌燕潘昌辉
Owner NANCHANG UNIV