Myoelectric sensor system based on wireless charging and energy self-collection technology

Abstract

The invention discloses a myoelectric sensor system based on a wireless charging and energy self-collection technology in the technical field of medical instruments. The myoelectric sensor system comprises a control module, wherein the input end of the control module is electrically connected with a power frequency wave trap, the input end of the power frequency wave trap is electrically connectedwith a level raising module, the input end of the level raising module is electrically connected with a low-pass filter, and the input end of the low-pass filter is electrically connected with a high-pass filter. The input end of the high-pass filter is electrically connected with a differential amplifier, the input end of the differential amplifier is electrically connected with the differentialamplifier, a transmission port of the control module is electrically connected with a power supply module, a power supply port of the power supply module is electrically connected with a wireless charging module and a thermoelectric module separately, and an output port of the control module is electrically connected with a wireless data transmission module. In the myoelectric sensor system, thethermoelectric module utilizes the heat generated by the movement of the human body, the components of myoelectric electrodes and other assemblies to charge the power supply module, and the continuousworking time of the system is prolonged.

Description

technical field [0001] The invention discloses a myoelectric sensor system based on wireless charging and energy self-collection technology, specifically in the technical field of medical equipment. Background technique [0002] Surface electromyography (sEMG) is a physiological electrical signal that is produced with muscle contraction. It is the result of bioelectricity generated when nerves and muscles are excited, and it is the source of electrical signals that generate muscle force. There are different degrees of correlation between surface electromyographic signal and muscle function state and activity state, which can reflect muscle activity to a certain extent. It can be used in ergonomic analysis of muscle activity in the field of ergonomics and evaluation of muscle function in the field of rehabilitation medicine It also has considerable practical value in the diagnosis of neuromuscular diseases in clinical medicine, the judgment of fatigue in sports science, and m...

AI Technical Summary

Problems solved by technology

Newer EMG sensors use wireless charging to charge the system battery, but both of them face a problem, that is, the user needs to charge the system frequently, which brings a great impact on the user experience of the system. inconvenient

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