System and method for detecting surface electromyogram signal of lower back of human body

Abstract

The invention discloses a system and a method for detecting a surface electromyogram signal of lower back of a human body. The system comprises an acquisition unit and a signal processing terminal which are connected sequentially, wherein the acquisition unit is used for acquiring the surface electromyogram signal of the lower back of the human body and sending the electromyogram signal to the signal processing terminal; and the signal processing terminal comprises a digital filtering module, a signal rectification module, a movement section detection module, a feature extraction module and amuscle fatigue analysis module and is used for processing the surface electromyogram signal to form visual chart parameters. The electromyogram signal is subjected to two-time filtration; for the first-time filtration, the digital filtering module of the signal processing terminal filters the acquired electromyogram signal to remove noise interference beyond the effective frequency band of the electromyogram signal and 50 Hz power frequency interference; and for the second-time filtration, the digital filtering module of the signal processing terminal filters the electromyogram signal to remove part of noise failing to be filtered by a hardware circuit and increase the signal-to-noise ratio.

Description

technical field [0001] The invention relates to the technical field of bioelectricity collection and control, in particular to a detection system and method for human body lumbar and back surface electromyography signals. Background technique [0002] Myoelectric signal is the result of superimposition of action potentials on the surface of human skin when the active motor units of the central nervous system of the human body are excited, causing the muscle fibers controlled by them to contract. The surface electromyographic signal is the electromyographic signal measured by the guidance of the surface electrodes. It will not cause human injury during the measurement, and is easy to operate. It is more convenient and desirable to apply to the experimental test. Surface electromyographic signal technology has been widely used in clinical medicine, rehabilitation medicine, sports science, ergonomics and other fields, providing accurate and reliable information for neuromuscula...

AI Technical Summary

Problems solved by technology

[0005] (1) The electrodes are inconvenient to paste, not securely fixed, and the application environment is limited. When the human body is in motion, the electrodes are easy to shift; it is easy to cause discomfort to the tested personnel

[0006] (2) It is easy to introduce large power frequency interference and environmental interference during the acquisition process. The noise filter circuit cannot completely remove the noise. The signal-to-noise ratio of the collected EMG signal is low, and it is difficult to obtain the real muscle activity state.

[0007] (3) The waveform diagram formed by the electromyographic signal obtained by the general acquisition device cannot allow non-technical personnel to intuitively obtain the active state and fatigue degree of the measured muscles, and requires professional and technical personnel to process the electromyographic signal, which lacks immediacy and effectiveness ,higher cost

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