Brain-computer interface system for attention training

Abstract

The invention discloses a brain-computer interface system for attention training, including a game module based on motion imagination and virtual reality technology, an EEG signal acquisition module,an EEG signal feature extraction and classification module, and a feedback module based on virtual reality technology. The -computer interface system for attention training continuously outputs a subject motion imagination result in real time as neural feedback, feature extraction and classification of the motion imagination, and provides a more imaginative, interactive and interesting feedback mode by combining the virtual reality. According to the motor imagination task, the subjects independently regulated the EEG activity to control the movement direction and speed of the football (2D or 3D) on the display screen, the subjects actively participated in regulating the sensorimotor rhythm (mu, beta rhythm) through the motor imagination task, and the brain is stimulated by the motor imagination task, and the self state is adjusted in real time according to the feedback result provided by the brain-computer interface system.

Description

technical field [0001] The present invention relates to the technical field of brain-computer interface technology and sensory motor rhythm (SMR, sensory motor rhythm), in particular to a brain-computer interface system for attention training. Background technique [0002] The movement and perception of different parts of the human body are controlled by different areas of the cerebral cortex. Sensorimotor rhythm (SMR) includes μ rhythm (8-13Hz), β rhythm (15-30Hz), γ rhythm (about 40H) and so on. These rhythms are reduced by suppression of movement, motor imagery, or motor readiness. This decline is called event-related desynchronization (event related desynchronization, ERD), and the rise of rhythmic activity after exercise or entering a rest state is called event-related synchronization (event related synchronization, ERS). ERD and ERS will be produced when the subjects perform exercise or motor imagery (or preparation), because SMR is regulated by the subjects themselv...

AI Technical Summary

Problems solved by technology

[0010] The purpose of the present invention is to solve the problems that the existing drug treatment methods have large side effects and little curative effect of behavioral and psychological treatment methods, and adopt the neurofeedback training mode based on motor imagery to allow the subjects to actively adjust or inhibit the brain rhythm to help reduce attention Deficiencies can reduce hyperactivity symptoms at the same time, and a brain-computer interface system for attention training is proposed. EEG collection, feature extraction and classification after preprocessing the EEG signal, the classification results are displayed to the subjects in the form of interactive neurofeedback to help the subjects more effectively regulate the brain rhythm

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