Design of an EMG acquisition system oriented to the development of myoelectric prostheses
DOI:
https://doi.org/10.24054/rcta.v2i48.4406Keywords:
rehabilitation engineering, signal conditioning, surface electromyography (sEMG), embedded systems, servomotor, Raspberry PiAbstract
This article describes the development and implementation of electromyography (EMG) signal acquisition and processing for the control stage of a myoelectric prosthesis. A method is established for detecting and classifying muscle activity with low computational load and high reproducibility, using a hybrid analog-digital architecture. The EMG signal passes through a passive RC low-pass filter and then to a window comparator circuit with LM393 integrated circuits, which classifies the electrical activity into three levels: rest, contraction, or partial contraction. This classification generates pulse-width modulation (PWM) signals for servomotor control. The implementation of a digital Butterworth bandpass filter results in output voltages of 0.1 V, which can be amplified to obtain a 1.9 V voltage for servomotor activation. This fulfills the objective of generating the dynamics of an actuator with low-cost components, with the possibility of increasing the number of actuators due to the use of a Raspberry Pi 4, which has input/output ports.
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Copyright (c) 2026 Yeison Manuel Arias Nuñez, Sandra Patricia Usaquen Perilla, Mauricio Alejandro Gómez Figueroa
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