The EMG Signal Acquisition System for DC Motor Control Based on Threshold Method

The design of the EMG signal acquisition system plays a crucial role in diagnosing and treating human muscle-related disorders. In this paper, an EMG signal acquisition system is designed to collect and transmit the EMG signal to a computer. The collected EMG signals are preprocessed to eliminate noise. A threshold method is applied to this signal to determine the human muscle contraction state for controlling the operation of the DC motor. Experimental results demonstrate that the acquired EMG signals are of high quality, and the DC motor control results during muscle contraction are accurate with 100%. In future work, the research findings will be compiled with an artificial neural network to control artificial limb movements for patients with hand disabilities.