Multi-mode fusion hand function rehabilitation training and intelligent evaluation system

Abstract

The invention discloses a multi-mode fusion hand function rehabilitation training and intelligent evaluation system, which comprises a rehabilitation training mechanism, a sensor data collecting device, a rehabilitation evaluation system and a scene interaction game system, wherein the rehabilitation training mechanism is used for performing rehabilitation training on the fingers and the wrist; the sensor data collecting device is used for collecting one or various kinds of signals from a surface electromyographic signal, a force signal and a posture signal in real time; the rehabilitation evaluation system performs quantitative evaluation on the rehabilitation training condition of a patient according to a multi-mode signal collected by the sensor data collecting device; and the scene interaction game system is used for providing information feedback such as rehabilitation training, effect evaluation and vision for the patient. The multi-mode fusion hand function rehabilitation training and intelligent evaluation system disclosed by the invention has the advantages that by aiming at the rehabilitation training of a cerebral stroke patient, real-time feedback regulation and control, quantitative evaluation and game feedback can be performed in the rehabilitation training process; the training enthusiasm of the patient is effectively aroused; and the rehabilitation training effect is enhanced.

Description

technical field [0001] The invention belongs to the technical field of medical equipment, and in particular relates to a multimodal fusion hand function rehabilitation training and intelligent evaluation system. Background technique [0002] With the aging of society, cerebral apoplexy (commonly known as apoplexy) has become one of the most common causes that threaten people's health with the characteristics of high morbidity and disability. At present, about 1.5 million people die from stroke in my country every year, and about 2 million new strokes occur; about 75% of the survivors have different degrees of dysfunction, and the estimated annual social and economic burden is 40 billion yuan. Scientific research and clinical application have shown that timely and effective rehabilitation training can effectively restore the motor function of some limbs, improve the self-care ability of stroke patients, reduce the disability rate, and reduce the economic burden on the family ...

AI Technical Summary

Problems solved by technology

However, the rehabilitation of hand function is a delicate rehabilitation. The joints and nerve endings of the hand are relatively complicated, and the muscles are mostly small muscles. Traditional therapists' manual rehabilitation takes a lot of time and the effect is poor.

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