A method and device for collecting electromyographic signals

Abstract

An electromyographic signal acquisition method and apparatus applicable to the technical field of wearable electronic devices. The electromyographic signal acquisition method comprises: controlling an acquisition module in a wearable apparatus to measure electromyographic signals at preset body positions at a first acquisition frequency corresponding to a normal mode (S101); obtaining the strength of the electromyographic signals, and determining whether the strength is less than a first preset threshold (S102); and if yes, controlling the acquisition module to operate in an energy-saving mode, and controlling the acquisition module to measure the electromyographic signals at the preset body positions at a second acquisition frequency corresponding to the energy-saving mode, wherein the second acquisition frequency is lower than the first acquisition frequency (S103). The electromyographic signal acquisition method and apparatus enable a wearable apparatus to distinguish unconscious behavior movements from normal training movements. In a non-exercise training state, by controlling an acquisition module to measure electromyographic signals at an acquisition frequency corresponding to an energy-saving mode, the acquisition frequency is reduced, the acquisition quantity of invalid electromyographic signals is decreased, and the effectiveness of electromyographic signal acquisition is improved.

Description

technical field [0001] The invention belongs to the technical field of wearable electronic equipment, and in particular relates to a method and a device for collecting electromyographic signals. Background technique [0002] Surface electromyographic signal (hereinafter referred to as electromyographic signal) is a bioelectrical signal generated during muscle contraction. It is the superposition of motor unit action potential (MUAP) in many muscle fibers in time and space. It is used to evaluate the movement of the neuromuscular system. Functional important biological information carrier. At present, EMG signals have a very wide range of application scenarios in the fields of medical research, clinical diagnosis, and rehabilitation. [0003] In recent years, EMG signals have been applied in the field of sports biomechanics. Specifically, during the user's exercise training process, the electromyographic signal of a specific part of the human body can be collected, so that ...

AI Technical Summary

Problems solved by technology

[0004] Embodiments of the present invention provide a method and device for collecting myoelectric signals, aiming to solve the problem of relatively low efficiency of collecting myoelectric signals in the prior art

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