Array Surface Electromyography Signal Acquisition And Noise Reduction

Surface Electromyography (sEMG) is an electrical signal that acquired by EMG acquisition device on the skin. It reflects the activity of muscle. Compared to indwelling or intramuscular Electromyography (iEMG), sEMG is non-invasive to human body. Therefore, sEMG is gaining its popularity in clinical rehabilitation, athlete training and human-computer interaction.This paper presents the design and implementation of a wearable device that parallel acquires128-chanel array surface sEMG signal at speed. The device contains eight individual acquisition modules and a data fusion module. The eight acquisition modules share the same structure, each of which acquires sEMG signal with a16-channel (2×8) array electrode surface patch at the sampling rate of1KHz. To enhance the efficiency of the program, techniques such as multitask, double data buffer and circular queue FIR low-pass filter are imported. The data fusion module is an ARM-based platform running the Linux operating system. Every100ms, the128-channel sEMG signal data from8acquisition modules are packed in the ARM controller and transferred to PC via WIFI. The power line interference in the128-channel sEMG signal is filtered by Butterworth notch filter. In the test, the device is capable of acquiring high-quality128-channel array sEMG signal.