System and method for detecting a muscle fatigue process through ultrasonic image entropy features

Abstract

The invention provides a system and method for detecting a muscle fatigue process through ultrasonic image entropy features. An ultrasonic transducer is aligned with a target muscle tissue area; constant force is applied to target muscle tissues through a force application unit; the stress process of detected muscle is recorded according to the time sequence; the muscle fiber image entropy textural features are estimated according to B-type ultrasonic images in the muscle fiber direction; according to the principle that muscle fibers are increased in motion along with the fatigue degree, the sectional areas of the muscle fibers are increased in a positively-correlated manner, the muscle overall ordering increase of the overall muscle fibers is formed, and therefore muscle ultrasonic image entropies reflecting the muscle fiber ultrasonic features are decreased in the positive correlation manner, an image entropy threshold value is set to judge the target muscle fatigue degree and process. By means of the system and method, the muscle tissue ultrasonic image entropy features are combined with the muscle tissue fatigue process; a damage-free and intervention-free muscle tissue fatigue process ultrasonic image entropy detection system is designed; and the muscle fatigue process is detected in a real-time, effective and damage-free manner.

Description

technical field [0001] The invention relates to a method for detecting the progress of muscle fatigue, in particular to a system and method for detecting the progress of muscle fatigue by utilizing the entropy characteristic of an ultrasonic image. Background technique [0002] Muscle fatigue refers to a phenomenon in which muscles cannot continue to maintain the required or expected muscle tension and contraction after a period of continuous contraction or repeated contraction exercises. Muscle fatigue often occurs in our daily life. When muscles are overtired, it may cause muscle strain. If the muscles are fatigued to a certain extent during the exercise and continue to exercise, it is very easy to cause muscle or tendon damage. When muscle fatigue is not properly managed, it can interfere with daily life, especially sports training. The research on the characteristics of muscle fatigue plays an important role in the fields of rehabilitation medicine and sports medicine....

AI Technical Summary

Problems solved by technology

However, the surface electromyography signal is a weak bioelectric signal, and there are many factors that affect the measurement accuracy.

For example, if it is a telemetry electromyography instrument, space-propagating radio waves are the most prominent problem affecting the accuracy of the electromyography signal

During the EMG measurement, there may be a lot of radio interference in the surrounding environment, which will cause the EMG signal to be distorted to a certain extent

In addition, the thickness of sebum and skin temperature will also affect the measurement accuracy of EMG

Images