Hand rehabilitation system based on brain-computer interaction hybrid intelligence for cerebral apoplexy patients

Abstract

The invention discloses a hand rehabilitation system based on brain-computer interaction hybrid intelligence for cerebral apoplexy patients. A portable electroencephalogram signal acquisition device is connected with a mechanical glove through a motion imagery electroencephalogram signal processing and recognition module; a visual stimulation module comprises an SSMVEP visual stimulation interfaceand a motion imagery visual interface and is used for providing SSMVEP visual stimulation options and pictures of hand actions executed by the mechanical glove for a testee; the portable electroencephalogram signal acquisition equipment is used for acquiring SSMVEP electroencephalogram signals and motor imagery electroencephalogram signals of the testee; the SSMVEP electroencephalogram signal processing and recognition module classifies and recognizes the SSMVEP signals, wherein classification results are transmitted to the mechanical glove and visual stimulation module at the same time; an the motor imagery electroencephalogram signal processing and recognizing module classifies and recognizes the motor imagery electroencephalogram signals and converts the motor imagery electroencephalogram signals into instructions to control the mechanical glove to drive the affected limb of the testee to complete pre-selection hand action. According to the invention, the misoperation rate of the mechanical glove is reduced, and the applicability of the hand rehabilitation system is improved.

Description

technical field [0001] The invention relates to a hand rehabilitation device. In particular, it involves a hand rehabilitation system for stroke patients based on brain-computer interaction hybrid intelligence. Background technique [0002] Stroke is a disease in which patients suffer from motor impairment, visual impairment, language impairment, or cognitive impairment due to brain tissue damage, and has the highest disability and mortality rates worldwide. After a stroke occurs, the patient will bring great inconvenience to himself, even lead to the inability to take care of himself, and will bring a great burden to the family and the society. A large proportion of stroke patients suffer from severe degeneration of upper limb motor function, which seriously affects some daily activities such as dressing and eating. The emergence of brain-computer interface (Brain-computer interface, BCI) will greatly improve the inconvenient living conditions of stroke patients. Brain-c...

AI Technical Summary

Problems solved by technology

After a stroke, the patient will bring great inconvenience to himself, even cause him t

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