Rehabilitation training evaluation method and system based on interaction between exercise information and myoelectricity

Abstract

The invention discloses a rehabilitation training evaluation method and system based on the interaction between exercise information and myoelectricity. Exoskeletons are arranged on front half parts of rehabilitation information gloves, bending sensors and pressure sensors are arranged on the portions, corresponding to joints of the upper limbs and hands, of the rehabilitation information gloves,multiple myoelectric electrodes are arranged on muscle parts corresponding to joint movement, and the bending sensors, the pressure sensors and the myoelectric electrodes are separately connected witha computer; the computer uses the position, the velocity, the acceleration and the pressure as input data for neural network training, myoelectric signal features are used as guide signals for performing neural network training, and the computer displays visual feedback refined to the color change of each exercise muscle through a display unit so that healthy people or patients can conduct activetraining in line with continuous movement intention according to the movement and multiple muscle color changes. Real-time synchronization of the intention and complex and fine movement is achieved in a real sense, and evaluation of the targeted quantification of the single muscle of the patients with different movement disorder conditions is achieved.

Description

technical field [0001] The invention belongs to the technical field of medical rehabilitation equipment, and in particular relates to a fine movement active rehabilitation training and evaluation method and system based on motion information and myoelectric interaction. Background technique [0002] In recent years, patients with motor dysfunction caused by central nervous system diseases such as cerebral infarction and cerebral thrombosis have shown a sharp increase with younger age, which has posed a serious threat to middle-aged people in my country, especially the labor force. With the development of society and the improvement of people's medical care and living standards, the rehabilitation of disabled people has attracted the attention of the whole society. Traditional rehabilitation includes physical therapy, occupational therapy, acupuncture and moxibustion of traditional Chinese medicine, etc., and there are many types. However, traditional rehabilitation is not on...

AI Technical Summary

Problems solved by technology

None of the above rehabilitation robots can really achieve the synchronous combination of intention and complex movements, and realize the neural activation of the complete motor area

At the same time, the current exercise evaluation for stroke rehabilitation adopts the evaluation scale and the range of motion evaluation method combined with the mechanical exoskeleton. Although the evaluation scale can be accurate to a single muscle, the subjective factors are too large to achieve the quantification of the muscle; combined with the exoskeleton Although the evaluation quantifies the overall movement, it is not accurate to the recovery of individual muscles

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