Surface myoelectricity acquisition device and myoelectricity signal processing method thereof

Abstract

The invention discloses a surface myoelectricity acquisition device and a myoelectricity signal processing method thereof. The surface myoelectricity acquisition device comprises a first electrode, a second electrode, a third electrode, a front end amplification module, a leg driving module, a band-pass filtering module, a working frequency filtering module, an electrical level lifting module, an AD (Analogue-Digital) acquisition module, a microprocessor and a digital separation module, wherein the first electrode and the second electrode are connected with the band-pass filtering module by the front end amplification module; the third electrode is connected with the front end amplification module by the leg driving module; the band-pass filtering module, the working frequency filtering module, the electrical level lifting module, the AD acquisition module, the digital separation module and the microprocessor are connected in sequence; the leg driving module is used for extracting a human body reference electric signal so that the effects of rapidly discharging, and effectively damping a human body common-mode voltage signal are realized; the common-mode inhibition rate and the input impedance are improved through the front end amplification module so that the precision of acquired myoelectricity signal data is high.

Description

technical field [0001] The invention relates to the technical field of collection and processing of skin surface electromyography signals, in particular to a surface electromyography collection device and a method for processing the electromyography signals. Background technique [0002] Surface electromyography (SEMG) is the electrical signal accompanying muscle contraction, and is an important method for noninvasive detection of muscle activity on the body surface. The surface EMG signal is superimposed on the skin surface by the action potential sequences (Motor Unit Action Potential Trains, MUAPT) generated by the motor units recruited when the muscle is excited. It is a non-stationary weak signal. By extracting and studying surface electromyographic signals, it can effectively identify human movement, diagnose muscle diseases, and guide rehabilitation medical treatment. It is widely used in disease diagnosis, rehabilitation medicine, sports and other fields. [0003] E...

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Problems solved by technology

[0005] The technical problem to be solved by the present invention is to provide a surface electromyography acquisition device and its electromyography signal processing method, aiming to solve the problem of inaccurate and low precision electromyography signals collected by existing electromyography signal acquisition devices

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