Neck muscle fatigue analysis method and system

Abstract

A neck muscle fatigue analysis method comprises the following steps: acquiring surface electromyographic signals of left and right sternocleidomastoid muscles and left and right upper trapezius muscles of a tester; preprocessing the acquired surface electromyogram signals; carrying out signal separation on the preprocessed surface electromyogram signals to obtain separated signals; carrying out feature extraction on the separated surface electromyogram signals; and performing neck muscle fatigue analysis according to the surface electromyographic signal features after feature extraction. The invention further relates to a neck muscle fatigue analysis system. The method is easy to operate, noninvasive collection is achieved, and neck muscle fatigue can be effectively analyzed.

Description

Technical field [0001] The present invention relates to muscle fatigue analysis method and system of the neck. Background technique [0002] Now, people in their daily lives, greatly increasing the chances of neck flexion. Since the neck flexion head center of gravity, leading to contraction of the neck muscles and vertebral the pressures are increased exponentially, while the neck extensors tensile stress also increased significantly. Therefore, if the neck under the long-term excessive flexion of poor posture, neck muscle will be a long period of tension, so that the neck muscle overload, the long muscle strain, muscle spasm, muscle tension decreased, resulting in neck movement force balance disorders. Once the static and dynamic force balance lower cervical damage and mechanical properties, it will accelerate the cervical spine and neck muscle degeneration, resulting in the occurrence and development of cervical spondylosis. The survey shows that my country has reached 50 mill...

AI Technical Summary

Problems solved by technology

[0005] In previous studies on muscle fatigue, the surface EMG signals collected from a single muscle were often analyzed. However, the signals measured by a single electrode may even originate from multiple muscle groups.

When human muscles conduct electromyographic signals, their equivalent circuit is a set of complex volume conductors, and surface electromyographic signals are easily crosstalked by multiple muscle groups, which makes the results very uncertain

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