Personalized MI-EEG training and collecting method based on mirror image virtualization and Skinner reinforced learning

Abstract

The invention relates to a personalized MI-EEG training and collecting method based on mirror image virtualization and Skinner reinforced learning. According to the method, a mirror image therapy in the rehabilitation therapy field and a Skinner reinforced learning theory are integrated into the MI-EEG training and collecting process; personalized audio-visual combined stimulation is designed in a training mode, an unaffected hand wears a data glove and performs opening and holding actions in a more relaxed state, data of the actions of the unaffected hand is read and decoded in real time through a computer serial interface, and then the actions of a mirror image virtualization affected hand model in a collecting interface is muzzled. According to the method, a subject stimulates and induces movement of the mirror image virtualization hand through the actions of the unaffected hand of the subject, the electrical activity of mirror image neurons in the movement function area of the brain is enhanced, and a closed-loop electroencephalogram collecting and controlling mode is designed on the basis of the Skinner reinforced learning theory to test the training effect; meanwhile, internal motivation is further enhanced through Skinner online reward feedback, and the MI-EEG quality is improved. The method is easy to operate and is expected to achieve better actual application.

Description

technical field [0001] The invention belongs to the technical field of EEG signal collection, and in particular relates to a method for training and collecting motor imagery EEG signals in a Brain-Computer Interface (BCI) system. During the collection of electrical signals. Background technique [0002] With the continuous development of artificial intelligence and pattern recognition technology, the brain-computer interface has gradually entered people's lives from science fiction movies. At the same time, mirror therapy, virtual reality technology, and motor imagery therapy have received more and more attention as emerging rehabilitation interventions. . Through virtual reality scenes and animation effects on the subject's nerve center to achieve active and passive synergistic stimulation of the damaged nerve center, stimulate the mirror neurons in the motor area of ​​the brain, and strengthen the voluntary movement intention. [0003] However, in the field of BCI resear...

AI Technical Summary

Problems solved by technology

However, in the existing motor imagery EEG acquisition process, the EEG acquisition prompt method generally uses a combination of prompt sounds and simple prompts or pictures. The visual stimuli of the subjects were weak and the collection process was relatively monotonous and boring. The experimental form and content of the experiment were less attractive to the subjects. The collected motor imagery EEG signals were not strong and the extracted features were not obvious, making it difficult to distinguish

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