A rehabilitation training evaluation method and system based on motion information and myoelectric interaction

Abstract

The invention discloses a rehabilitation training evaluation method and system based on the interaction between motion information and myoelectricity. The exoskeleton is arranged on the first half of the rehabilitation information glove, and bending sensors are respectively arranged on the joints of the rehabilitation information glove corresponding to the human upper limbs and hands. and pressure sensors, a plurality of myoelectric electrodes are arranged at the muscle parts corresponding to the joint movement, and the bending sensor, pressure sensor and myoelectric electrodes are respectively connected to the computer, and the computer uses position, speed, acceleration, and pressure as the input data for neural network training, The EMG signal feature is used as the instructor signal to carry out neural network training. The computer presents visual feedback that is refined to the color change of each exercise muscle through the display unit, so that healthy people or patients can make continuous exercise intentions according to the action and the color change of multiple muscles. Active training. It realizes the real-time synchronization of intent and complex fine movements in the true sense, and realizes the targeted quantitative evaluation of single muscles for patients with different movement disorders.

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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