Diseño de un sistema de adquisición EMG orientado al desarrollo de prótesis mioeléctricas
DOI:
https://doi.org/10.24054/rcta.v2i48.4406Palabras clave:
ingeniería de rehabilitación, acondicionamiento de señales, electromiografía de superficie (sEMG), sistemas embebidos, servomotor, Raspberry PiResumen
Este artículo describe el desarrollo e implementación de la adquisición y el procesamiento de señales de electromiografía (EMG) para la etapa de control de una prótesis mioeléctrica. Se establece un método para detectar y clasificar la actividad muscular con baja carga computacional y alta reproducibilidad, utilizando una arquitectura híbrida analógica-digital. La señal EMG pasa a través de un filtro pasivo RC de paso bajo y luego a un circuito comparador de ventana con circuitos integrados LM393, que clasifica la actividad eléctrica en tres niveles: reposo, contracción o contracción parcial. Esta clasificación genera señales de modulación por ancho de pulso (PWM) para el control del servomotor, teniendo como resultado de la implementación de filtro pasabanda Butterworth digital obteniendo valores de voltaje 0.1 V a la salida que pueden ser amplificados y obtener para la activación del servomotor un voltaje de 1.9 V, cumplido con el objetivo que es generar la dinámica de un actuador con elementos de bajo costo con posibilidad de aumentar el número de actuadores debido al uso de Raspberry Pi 4 que cuenta con puertos de entrada y salida.
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Derechos de autor 2026 Yeison Manuel Arias Nuñez, Sandra Patricia Usaquen Perilla, Mauricio Alejandro Gómez Figueroa
Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial 4.0.
