DISEÑO E IMPLEMENTACIÓN DE UN SISTEMA DE ELECTROMIOGRAFÍA SUPERFICIAL BLUETOOTH PARA MONITOREAR FRECUENCIA RESPIRATORIA (DESIGN AND IMPLEMENTATION OF A BLUETOOTH SUPERFICIAL ELECTROMYOGRAPHY SYSTEM FOR RESPIRATORY RATE MONITORING)
Resumen
Recientemente, trabajos de investigación sugieren que el monitoreo continuo de la frecuencia respiratoria (FR) por medio sistemas biomédicos de contacto permitiría la detección oportuna de enfermedades cardiacas, respiratorias, apnea del sueño, entre otras. Sin embargo, los sistemas propuestos son costosos y de diseño complejos. Además, se enfocan hacia el monitoreo de pacientes dentro de hospitales o clínicas. En este artículo se presenta el diseño de un de sistema biomédico Bluetooth de baja complejidad para monitorear FR de personas en entornos domésticos. El sistema propuesto digitaliza señales de electromiografía superficial (sEMG) y de electrocardiografía (ECG), las transmite hacia un dispositivo recolector en donde las procesa digitalmente para determinar la FR. El funcionamiento del sistema fue evaluado en laboratorio y en un ambiente doméstico. La FR determinada por el sistema propuesto se comparó minuto a minuto con un método de referencia. Los resultados ratifican el correcto funcionamiento del sistema propuesto en ambientes con ruido eléctrico.
Palabras Clave: Electromiografía, electrocardiografía, frecuencia respiratoria, PIC16F.
Abstract
Recently, research works have shown that continuous monitoring of respiratory rate (RR) through contact biomedical systems would allow timely detection of heart, respiratory, and sleep apnea diseases, among others. However, proposed systems are expensive and design complex. In addition, these systems are focused on monitoring patients within hospitals or clinics. This article presents the design of a low complex Bluetooth biomedical system to monitor RR of people in domestic environments. The proposed system digitizes surface electromyography (sEMG) and electrocardiography (ECG) signals, transmits them to a collecting device where these signals are digitally processed to determine RR. The system’s performance was evaluated in laboratory and domestic environment. The RR determined by the proposed system was compared minute by minute with a reference method. The results ratify the correct functioning of the proposed system in environments with electrical noise.
Keywords: Electrocardiography, electromyography, PIC16F, respiratory rate.
Texto completo:
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