A device for detecting muscle fatigue

Abstract

The invention relates to a muscle fatigue detection device. Its body includes an upper case, a lower case and an electromyographic signal detection module. The outer wall of the upper case is provided with a flexible display screen and at least one control button. Muscle oxygen signal detection module, circuit board and energy storage module. The muscle oxygen signal detection module is used to acquire the muscle oxygen signal and myoelectric signal of the target muscle; the main control chip is used to generate muscle oxygen data according to the muscle oxygen signal, and generate exogenous fatigue degree according to the muscle oxygen data, and Generate myoelectric data according to the myoelectric signal, and generate endogenous fatigue degree according to the myoelectric data, generate comprehensive fatigue degree according to exogenous fatigue degree and endogenous fatigue degree, and the flexible display screen is used to display endogenous fatigue degree Fatigue, exogenous fatigue and comprehensive fatigue. The invention can acquire muscle oxygen value and bioelectric activity, and display them in real time through a flexible display screen, so as to improve exercise efficiency and prevent excessive exercise.

Description

technical field [0001] The invention relates to the field of intelligent detection equipment, in particular to a muscle fatigue detection device. Background technique [0002] With the development of science and technology, more and more wearable devices are widely used in people's fitness activities or the competitive training of professional athletes. For example, muscle oxygen data can be collected through muscle oxygen sensors, or muscle data can be collected through electromyography instruments Wait. Existing muscle oxygen sensors generally use the photoelectric principle for measurement, which is not only cumbersome to wear, easy to fall off, but also difficult to filter ambient light, which has a great impact on detection accuracy. At the same time, the detection equipment of the existing technology has relatively single functions, and it is difficult to collect muscle oxygen data and myoelectric data at the same time, and it is also difficult to accurately calculate...

AI Technical Summary

Problems solved by technology

Existing muscle oxygen sensors generally use the photoelectric principle for measurement, which is not only cumbersome to wear, easy to fall off, but also difficult to filter ambient light, which has a great impact on detection accuracy

At the same time, the detection equipment of the existing technology has a relatively single function, and it is difficult to collect muscle oxygen data and myoelectric data at the same time, and it is also difficult to accurately calculate the fatigue status of one's own muscles based on the muscle oxygen data and myoelectric data, which affects the effect of exercise or sports rehabilitation

Images