Multi-stage lower limb training system and method utilizing muscle synergistic effect

Abstract

The invention discloses a multi-stage lower limb training system and method utilizing a muscle synergistic effect. The signal processing module performs feature extraction on electromyographic signalsacquired by the electromyographic acquisition module, performs action judgment on the extracted muscle synergistic effect, takes the extracted muscle synergistic effect as signal input of the controlunit, is matched with the virtual reality interaction module to formulate different training modes, and guides a patient to perform different training through a virtual interaction scene. According to training schemes of different training periods, the system provides three selectable multi-stage training modes of balance training, single action training and gait training, different muscle groupscan be mainly trained according to the conditions of different dyskinesia patients, and the active and accurate multi-mode multi-stage training effect is achieved. According to the invention, the advanced training amount of a patient for myoelectricity control is reduced, the action completion degree and precision of the patient in training activities are improved, the active participation and precise control of the lower limb training process are realized, and the lower limb training effect of the patient is improved.

Description

【Technical field】 [0001] The invention belongs to the field of training equipment, and relates to a multi-stage lower limb training system and method utilizing muscle synergy. 【Background technique】 [0002] For patients who have suffered from stroke or other neurological diseases, most of them are faced with motor impairment. During the recovery process, patients need to receive stimulation of different intensities in stages to restore the patient's functional walking ability. The current training methods include manual massage recovery training, power bicycle training, and lower limb training robot recovery training. In recent years, the training robot has been widely valued because it can effectively simulate the gait of the real environment, reduce the work intensity of the therapist, and improve the sustainability and safety of treatment. The interdisciplinary combination of engineering has become a research hotspot. However, existing training robot systems generally ...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to solve the problems of single training function, lack of training immersion, and la

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