Functional muscle electrical stimulation walk-assisting device based on gait recognition and control method

Abstract

The invention discloses a functional muscle electrical stimulation walk-assisting device based on gait recognition and a control method. An IOT (Internet of Things) cloud server is connected with gait rehabilitation systems, and each gait rehabilitation system comprises a cellphone or a PC, a wireless router, a gait collection system, and a functional muscle electrical stimulator, wherein the signal input end of the cellphone or PC is connected with the signal output end of the gait collection system through the wireless router, a control signal output end of the cellphone or PC is connected with the control signal input end of the functional muscle electrical stimulator through the wireless router, the signal output end of the cellphone or PC is in wireless connection with the IOT cloud server, and the output end of the functional muscle electrical stimulator is connected with a surface muscle stimulation electrode. Different parts of a human body are connected with the signal collection ends of the gait collection systems. The device collects the gait phase big data, builds a gait time phase curve standard library, analyzes the gait variation characteristics of a patient, generates a gait regulation and control decision, and adjusts the muscle action state of the patient through employing the functional muscle electrical stimulators during the gait rehabilitation training. The device achieves a purpose that the patient can carry out the rehabilitation training at home.

Description

technical field [0001] The invention relates to a wearable gait rehabilitation method. In particular, it relates to a functional muscle electrical stimulation walking aid device and control method based on gait recognition. Background technique [0002] Gait is a complex and precise movement that can serve as an important external expression of human health performance. In the field of biomedicine, the correct identification and regulation of gait is of great significance for assisting patients with motor dysfunction to walk and performing targeted rehabilitation training. Medical research shows that gait analysis is very useful for the diagnosis of medical asynchronous morbidity, hemiplegia and other diseases, the etiology analysis of human motor system and nervous system diseases, the design of bone and joint prostheses and artificial limbs, and the reconstruction of walking function of paralyzed patients. It also provides important information for the prevention and reh...

AI Technical Summary

Problems solved by technology

In 2010, J B Lee et al. published an article in the Journal of Sports Science and Medicine on the use of inertial sensors and infrared cameras to compare the measurement of gait parameters, which solved the problem of gait estimation only in traditional laboratories.

[0009] At the same time, at present, a large number of patients may need to combine multiple devices for rehabilitation training. How to meet the linkage of different devices will be a problem

Or, some patients need to carry out rehabilitation training at home, and how to remotely monitor doctors or family members is also a difficult problem

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