Upper limb rehabilitation system and method based on myoelectric signal and virtual reality interaction technology

Abstract

The invention provides an upper limb rehabilitation system and method based on a myoelectric signal and a virtual reality interaction technology. The system comprises a myoelectric signal acquiring and processing part, a virtual reality man-machine interaction part and a muscle function evaluation part, wherein the myoelectric signal acquiring and processing part is composed of a data acquiring module, a signal processing module and a model control module; the virtual reality man-machine interaction part is composed of an upper computer virtual environment module and a force feedback device module; the muscle function evaluation part is composed of a muscular tension quantitative evaluation module and a muscle cooperativeness quantitative evaluation module. According to the rehabilitation method, myoelectric control is used so that a patient subjective intention can be reflected better; a patient keeps initiative in a rehabilitation process by using a virtual reality technology, and the portability, the safety and the effectiveness of rehabilitation trainings are improved. According to the upper limb rehabilitation system and method, an existing clinical rehabilitation evaluation manner can be combined and a muscle function state of the patient is objectively evaluated, so that rehabilitation training standards are provided for the patient and evidences for formulating a therapeutic scheme are provided for rehabilitation doctors.

Description

technical field [0001] The present invention relates to the field of neurorehabilitation with virtual-real interaction technology, in particular to a rehabilitation system and method for stroke or other central nervous system injury patients based on myoelectric signal and virtual-real interaction technology. Background technique [0002] With the intensification of the aging of our society, the number of patients with upper limb motor dysfunction caused by stroke is constantly increasing. In addition, the number of patients with nerve or limb injuries due to work-related injuries, traffic accidents, diseases, etc. has also increased significantly, seriously affecting the work, life and study of patients, and bringing a great burden to patients' families and society. Studies have shown that a certain degree of concentration and repetition training in time can repair the damaged central nervous system and help the recovery of upper limb motor function. Traditional rehabilita...

AI Technical Summary

Problems solved by technology

[0005] Researchers at home and abroad have carried out a lot of research on motor function rehabilitation by using technologies such as robotics, virtual reality, biological signal processing and control, but few studies have applied the combination of myoelectric signal control and virtual reality to the rehabilitation of patients with upper limb motor function injuries. training, and there are still the following deficiencies: (1) The existing feature extraction methods have certain difficulties in obtaining non-stationary and nonlinear upper limb EMG features and quickly and accurately identifying action patterns; (2) The previous rehabilitation training system based on the virtual environment Most emphasize visual feedback, without tactile feedback, and lack of sense of reality; (3) Evaluation criteria for rehabilitation training effects have not yet been systematically established, and there are few systems for quantitative evaluation in terms of muscle fatigue, muscle tension, muscle coordination, and motor coordination , and these indicators are very important for a complete evaluation of the rehabilitation effect

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