Publication: Desarrollo de dispositivos e-Health de bajo coste para Raspberry Pi
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2014
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Abstract
La monitorización cardiovascular requiere el uso de equipos de coste elevado, siendo este inasumible en muchos casos para ciertos ámbitos de bajos recursos económicos. Las principales complicaciones a la hora de reducir dichos costes se centran en encontrar plataformas de pequeño
tamaño, alto rendimiento y bajo consumo energético que puedan capturar señales electrocardiográficas en tiempo real. Este documento presenta un dispositivo de bajo coste que cumple los objetivos antes citados, haciendo uso para ello de una plataforma ahora mismo en auge, la Raspberry Pi. Para permitir el procesamiento de la señal y capturar sus puntos clave se han usado tanto filtros morfológicos como filtros basados en funciones de transferencia, probándose
altamente efectivos para ECGs. Se ha hecho uso además de un chip fabricado por Texas Instruments, el ADS1198, siendo este de coste reducido y de rendimiento elevado.
La meta final del dispositivo es facilitar el muestreo y análisis de señales en todos los entornos, sobre todo en aquellos con limitaciones económicas.
Cardiovascular monitoring requires the use of expensive equipment, often unaffordable for certain low-income areas. The main complications in the process of reducing these costs stem from the difficulty of finding small, high-performance platforms with a low energy consumption able to acquire electrocardiographic signals in real time. To this purpose, this document presents a low-cost, low-consumption alternative that uses the Raspberry Pi, a rising platform nowadays. In order to allow the processing of the signal and its acquisition, morphological and transfer function-based filtering have been used, which have proven to be highly effective for ECG filtering. A chip, made by Texas Instruments, the ADS1198, has been used in the development of this alternative and has proven to be a low-cost, high-efficiency alternative. The goal of this device is to provide a cheap, broad spectrum solution in order to sample and analyse signals in all environments, specially those with economic constraints.
Cardiovascular monitoring requires the use of expensive equipment, often unaffordable for certain low-income areas. The main complications in the process of reducing these costs stem from the difficulty of finding small, high-performance platforms with a low energy consumption able to acquire electrocardiographic signals in real time. To this purpose, this document presents a low-cost, low-consumption alternative that uses the Raspberry Pi, a rising platform nowadays. In order to allow the processing of the signal and its acquisition, morphological and transfer function-based filtering have been used, which have proven to be highly effective for ECG filtering. A chip, made by Texas Instruments, the ADS1198, has been used in the development of this alternative and has proven to be a low-cost, high-efficiency alternative. The goal of this device is to provide a cheap, broad spectrum solution in order to sample and analyse signals in all environments, specially those with economic constraints.
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Proyecto de Sistemas Informáticos (Facultad de Informática, Curso 2013-2014)