Hand rehabilitation training method based on motor imagery

Abstract

The invention provides a hand rehabilitation training method based on motor imagery. The hand rehabilitation training method comprises the following steps of: firstly, designing a plurality of virtualscenes including text voice, picture voice and virtual actions, and deeply inducing a subject to perform limb motor imagery; and acquiring electroencephalogram signals of a motor imagery area of thebrain in real time through EEG collection equipment; conducting signal preprocessing, feature extraction and classification recognition, sending a result to a wearable rehabilitation manipulator in aninstruction form through Bluetooth, and assisting a subject in grasping training with the wearable rehabilitation manipulator so as to realize hand rehabilitation training in the mode that motor imagery and physical therapy are combined. Meanwhile, hand actions of the subject are collected through Leap Motion and synchronized to a virtual hand in a virtual scene, so virtual-real interaction between the wearable rehabilitation manipulator and the virtual hand is achieved, and the subject is stimulated to conduct active motor imagery. According to the invention, the method accelerates the remodeling of the functions of a damaged motor area in the brain of the subject and the hand rehabilitation speed and rehabilitation effect of the subject, and improves the initiative of a patient in handrehabilitation training.

Description

technical field [0001] The invention relates to a hand rehabilitation training method based on motor imagery, which belongs to the fields of virtual reality, motor imagery, rehabilitation manipulator control and the like. Background technique [0002] According to the report of the World Health Organization, the number of patients with motor dysfunction caused by stroke is increasing year by year, and the incidence of stroke in my country ranks first in the world. It is clinically found that more than 75% of stroke patients have different degrees of limb dysfunction, which seriously affects the quality of life of patients and brings heavy burdens to patients, families and society. Among them, hand motor dysfunction has become one of the main symptoms caused by stroke, which is specifically manifested as difficulty in bending and stretching finger joints, and inability to perform normal grasping and stretching actions. Studies have shown that active rehabilitation training c...

AI Technical Summary

Problems solved by technology

However, due to the single rehabilitation training model and poor interaction, it cannot adapt to the rehabilitation training needs of different patients and different rehabilitation stages, that is, there are problems of poor individual adaptability and poor patient initiative

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