Wearable vestibular monitoring system based on myoelectricity and application

Abstract

According to the wearable vestibular monitoring system based on myoelectricity and the application, wearable equipment designed based on a low-power-consumption ADS acquisition chip is used for acquiring human body surface muscle electric signals (sEMG), in the acquisition process, the sEMG signals are filtered, amplified and digitized, human body balance signals are transmitted to a PC terminal, and in an APP of the PC terminal, the human body surface muscle electric signals are acquired through the wearable equipment. A deep learning algorithm is used for training and classifying transient faint and unbalance of a patient with low vestibular function in a motion state, and the transient faint and unbalance are recorded in myoelectricity data. According to a PC end software platform, the muscle state of the wearer can be quickly and accurately classified, the classification effect can reach a high level, and in an APP of a PC end, the real-time waveform of the sEMG electromyographic signal can be checked. After the signals are collected, the predicted signals can be transmitted to a PC terminal for next monitoring. The high accuracy shows that the system function is feasible.

Description

technical field [0001] The invention relates to an intelligent monitoring system for muscle movement state. In particular, it relates to a wearable vestibular monitoring system and application based on myoelectricity. Background technique [0002] In daily life, the human body mainly relies on the peripheral receptors of the vestibular, visual and proprioceptive systems to sense body position, movement, and external stimuli, and maintain the body in a suitable position in space through the integration and processing of information in the balance center and mutual coordination. In terms of maintaining balance, the forestibular system is the most important of the above three systems. The vestibule is the main peripheral receptor of the balance system of the human body and one of the organs of the inner ear. It is located in the petrous part of the temporal bone and is closely connected with the semicircular canal and the cochlea to form the labyrinth of the inner ear bone. ...

AI Technical Summary

Problems solved by technology

[0008] However, most of the existing multi-channel EMG acquisition devices are expensive, bulky, cumbersome to operate, and cannot be classified in real time. Wearable EMG acquisition devices generally have shortcomings such as insufficient accuracy and fewer channels.

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