Idiodynamic artificial limb system based on brain-computer hybrid intelligence

Abstract

The invention discloses an idiodynamic artificial limb system based on brain-computer hybrid intelligence. The system comprises a visual stimulation module, a portable electroencephalogram signal acquisition device, an electroencephalogram signal processing and recognition module and an artificial limb which are connected in sequence; the visual stimulation module is used for providing visual stimulation options for a testee; the electroencephalogram signal processing and recognition module is used for collecting SSMVEP electroencephalogram signals of a testee; and the electroencephalogram signal processing and recognizing module is used for conducting feature extraction and classification on the SSMVEP electroencephalogram signals and driving the artificial limb to conduct six actions according to the classification result, wherein the six actions comprise pressing elevator buttons, lifting a thumb, pouring water into a cup feeding food into the mouth, moving an object upwards to a cabinet, and picking up an object by two fingers. According to the method, classification and identification precision of a cerebral apoplexy patient in a fatigue state can be improved, the misoperationrate of the cerebral apoplexy patient on the artificial limb in a fatigue state is further reduced, the daily life of the cerebral apoplexy patient is facilitated, and applicability of the idiodynamic artificial limb system is improved.

Description

technical field [0001] The present invention relates to a prosthetic control. In particular, it relates to an idea-controlled prosthetic system based on brain-computer hybrid intelligence. Background technique [0002] Brain-computer interface (Brain-computer interface, BCI) technology achieves information exchange with the outside world or controls external devices by acquiring and analyzing brain activity signals and decoding brain nerve activity information, providing the brain with a new, independent The external communication channel of the general peripheral nervous and muscular system. At present, brain-computer interface technology has been widely used in many fields such as medical diagnosis, disability assistance, smart home and life entertainment, especially in the daily assistance of stroke patients. After the brain-computer interface collects the EEG signals of stroke patients, it performs feature extraction and classification on the EEG signals, and further t...

AI Technical Summary

Problems solved by technology

Although these methods have achieved gratifying results, the system still has the problems of low recognition accuracy and low information transmission rate in practical applications, which cannot meet the requirements of groups in need to use BCI for daily communication and control

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