Somatosensory stimulation consciousness detection device and method based on electroencephalogram double-feature fusion

A technology of feature fusion and detection method, which is applied in the field of brain-computer interface, can solve the problems of not suitable for patients, visual fatigue, low sensitivity and accuracy, etc., and achieve the effect of reliable technical support and overcoming limitations

Pending Publication Date: 2022-05-31
TIANJIN UNIV
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AI Technical Summary

Problems solved by technology

BCI based on visual stimulation is currently the best performing BCI system, it has the highest information transmission rate and classification accuracy rate, but this method is easy to cause visual fatigue, and it is not suitable for some patients with visual function loss
Also, auditory BCIs are not widely used due to sensitivity to environmental disturbances and relatively low accuracy

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  • Somatosensory stimulation consciousness detection device and method based on electroencephalogram double-feature fusion
  • Somatosensory stimulation consciousness detection device and method based on electroencephalogram double-feature fusion
  • Somatosensory stimulation consciousness detection device and method based on electroencephalogram double-feature fusion

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Embodiment Construction

[0046] The invention belongs to the field of brain-computer interface (Brain-Computer Interface, BCI), and designs a consciousness detection device based on somatosensory stimulation. Somatosensory stimulation is used to induce the corresponding neuroelectric activity of the cerebral cortex, and the level of consciousness can be detected according to the difference in the characteristics of the induced EEG signal. It can intervene in some users with limited consciousness functions and assist them in external communication and expression. For this reason, the present invention aims to design a set of consciousness detection device that can interact between the user and the external environment, and then detect and evaluate the state of consciousness.

[0047] The present invention designs a BCI system based on tactile stimulation, which induces SSSEP and P300 signals by applying electrical stimulation with a specific frequency and high and low current changes, and then expan...

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Abstract

The invention relates to the field of brain-computer interfaces, in particular to a somatosensory stimulation consciousness detection method based on electroencephalogram double-feature fusion, which is used for comprehensively evaluating the consciousness state of a user by expanding a coding mode of a BCI through multi-feature fusion and performing intensified induction on brain consciousness-related neurological function response. A tactile stimulation normal form for inducing a corresponding electroencephalogram signal is designed, the electroencephalogram signal of a user is acquired by using an electroencephalogram acquisition system product, feature extraction is performed on corresponding P300 and SSSEP signals after downsampling and filtering processing, the extracted features are fused, and finally classification and recognition are performed. The method is mainly applied to medical instrument design and manufacturing occasions.

Description

technical field [0001] The invention relates to the field of brain-computer interface (Brain-Computer Interface, BCI), and designs a consciousness detection device based on somatosensory stimulation. Specifically, it relates to a somatosensory stimulation consciousness detection device and method based on double-feature fusion of EEG. Background technique [0002] A brain-computer interface is a system that directly communicates with the outside world without relying on peripheral neuromuscular. Currently there are BCI systems based on various control modes, and these methods have some shortcomings. For example, the motor imagery (MI) BCI system that controls external equipment through the user's subjective consciousness, this type of system emphasizes the user's autonomy, but the user's subjective consciousness is uncontrollable, and many people are "MI blind", so in quite In many cases, it is difficult to induce the corresponding EEG signal features. In addition, there ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/383A61B5/374A61B5/372G06F3/01G06K9/00G06K9/62
CPCG06F3/015A61B5/7225A61B5/7203A61B5/7264A61B5/383A61B5/372A61B5/374G06F2203/011G06F2218/08G06F2218/12G06F18/2411G06F18/253
Inventor 王仲朋王瑜明东陈龙刘爽许敏鹏何峰
Owner TIANJIN UNIV
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