Muscle fatigue comprehensive evaluation device based on multivariate data fusion

Abstract

The invention discloses a muscle fatigue comprehensive evaluation device based on multivariable data fusion, the muscle fatigue comprehensive evaluation device includes a data acquisition module, a data transmission module and a data analysis and evaluation module, through the blood oxygen sensor, surface electromyography sensors and piezoelectric sensors collect blood oxygen saturation signals respectively, surface electromyography signal and muscle vibration signal are processed by single-chip microcomputer, and the data are transmitted to computer. Based on the muscle fatigue evaluation software developed by host computer, the time-frequency domain analysis of the three signals is carried out, and the comprehensive evaluation indexes of muscle fatigue are accurately obtained by using the method of weighted average of variations, and the judgement results of muscle fatigue under different exercise states are given. The device is easy to operate and has high reliability, and can be widely used in the field of human muscle motion evaluation and rehabilitation training.

Description

technical field [0001] The present invention relates to the technical field of muscle fatigue evaluation, in particular to a muscle fatigue evaluation device based on the fusion of multiple variable data based on blood oxygen saturation, surface electromyographic signal and muscle vibration signal. Background technique [0002] Muscle fatigue refers to the fatigue caused by the body's muscles to withstand work activities. Under fatigue, the ability of muscles to work is reduced, and even muscle damage can be caused. Therefore, the ability to effectively evaluate fatigue is important for accurately monitoring the intensity of rehabilitation training for patients and the intensity of exercise for athletes. significance. [0003] Traditional evaluation indicators for muscle fatigue include blood lactate threshold measurement, ventilator threshold (VentilatorThreshold, VT) measurement, and surface electromyogram (sEMG)-based measurement. However, blood lactate testing requires b...

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Problems solved by technology

[0003] Traditional evaluation indicators for muscle fatigue include blood lactate threshold measurement, ventilator threshold (VentilatorThreshold, VT) measurement, and surface electromyogram (sEMG)-based measurement. However, blood lactate testing requires blood samples and cannot be detected in real time; The VT measurement device is complicated and expensive, and a breathing mask needs to be worn during the test, which makes the tester less comfortable

Neither should be tested during training

[0004] For the surface electromyography measurement method, under the existing research, muscle fatigue can be detected more accurately, but the surface electromyography signal acquisition is not easy, the surface of the sensor needs to be coated with a conductive layer, and the resistance of the human skin surface is kept constant by using a solution

Therefore, in static situations, surface electromyography can be used to monitor fatigue, but in some sports situations, it is not suitable to use this method, and other methods are needed for evaluation

[0005] When muscles are fatigued, in addition to changes in surface electromyographic signals, there will also be changes in multiple physiological indicators such as muscle vibration frequency and blood oxygen saturation. However, because these physiological signals are relatively weak, characteristic It is not obvious, and it is impossible to completely and accurately define whether the muscle is fatigued; therefore, it is urgent to develop a device that can be applied to various occasions, especially during rehabilitation training, to evaluate muscle fatigue

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