Portable muscle fatigue degree detection equipment based on electronic epidermis

Abstract

The invention discloses portable muscle fatigue degree detection equipment based on electronic epidermis. The portable muscle fatigue degree detection equipment comprises the electronic epidermis, an amplifying and filtering circuit, a muscle fatigue degree detection main control circuit, a motion detection module and a Bluetooth data circuit, wherein the muscle fatigue degree detection main control circuit and the amplifying and filtering circuit are made of a flexible circuit board; the motion detection module is integrated on the flexible circuit board; the electronic epidermis has a snake-shaped inter-connected island-bridge structure, and is connected with the flexible circuit board; the amplifying and filtering circuit is used for filtering interference signals such as working frequency interference from human body electromyographic signals acquired by the electronic epidermis, and keeping 10-500Hz signals; meanwhile, the motion detection module is used for analyzing the acquired human body motion information; the muscle fatigue degree detection main control circuit is used for analyzing the electromyographic signals and the human body motion information; the human body motion information is transmitted to an upper computer through the Bluetooth data circuit to display the muscle fatigue degree and motion data. The portable muscle fatigue degree detection equipment is suitable for being popularized and applied in the fields of medical rehabilitation and sports and health.

Description

technical field [0001] The invention relates to the technical field of mobile myoelectric detection equipment, in particular to a portable muscle fatigue detection device based on an electronic skin. Background technique [0002] With the rapid development of my country's social economy, people's health awareness has gradually increased, and the frequency of exercise and health checks has gradually increased. However, due to the lack of real-time monitoring of muscle fatigue during exercise and fitness, many fitness enthusiasts do not know their own muscle fatigue, and there are many examples of sports-induced muscle injuries. In addition, for some recessive muscle diseases, there is a lack of The monitoring methods before clinical symptoms appear often have clinical symptoms and the treatment effect is not good, and the medical cost is high. The existing EMG signal detection and detection equipment has low detection accuracy and weak anti-interference ability. It is easily...

AI Technical Summary

Problems solved by technology

However, due to the lack of real-time monitoring of muscle fatigue during exercise and fitness, many fitness enthusiasts do not know their own muscle fatigue, and there are many examples of sports-induced muscle injuries. In addition, for some recessive muscle diseases, there is a lack of The monitoring methods before clinical symptoms appear often have clinical symptoms and the treatment effect is not good, and the medical cost is high. The existing EMG signal detection and detection equipment has low detection accuracy and weak anti-interference ability. It is easily affected by human movement, resulting in inaccurate detection data, and it is difficult to provide accurate muscle fatigue information

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