Artículo
An Open-Source Hardware Acquisition Platform for Physiological Measurements
Autor/es | Castro García, Juan Antonio
![]() ![]() ![]() ![]() ![]() ![]() ![]() Molina Cantero, Alberto Jesús ![]() ![]() ![]() ![]() ![]() ![]() ![]() Merino Monge, Manuel ![]() ![]() ![]() ![]() ![]() ![]() ![]() Gómez González, Isabel María ![]() ![]() ![]() ![]() ![]() ![]() ![]() |
Departamento | Universidad de Sevilla. Departamento de Tecnología Electrónica |
Fecha de publicación | 2019 |
Fecha de depósito | 2021-03-11 |
Publicado en |
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Resumen | In this article we present a new low-cost physiological
signal acquisition platform in compliance with Open-Source
Hardware philosophy. The device contains an electrocardiography
circuit; two electrodermal activity ... In this article we present a new low-cost physiological signal acquisition platform in compliance with Open-Source Hardware philosophy. The device contains an electrocardiography circuit; two electrodermal activity channels that implement a time-multiplexing technique to remove inter-channel coupling interference; and a skin temperature module. These features make the platform suitable for experiments involving Affective Computing. We have assessed the performance of this device in terms of Signal-to-Noise Ratio (SNR) and Background Noise Level (BNL), an adapted MPEG7 feature for electrocardiography signals. This platform outperforms other commercial devices and most similar state-of-art studies on SNR. Results show values of 11.96, 30.01, 68.40 dB for ECG, EDA and ST, respectively, for SNR, and −28.31 dB for BNL in ECG. Both features were obtained by sampling physiological signals at a frequency of 256 Hz. |
Cita | Castro García, J.A., Molina Cantero, A.J., Merino Monge, M. y Gómez González, I.M. (2019). An Open-Source Hardware Acquisition Platform for Physiological Measurements. IEEE Sensors Journal, 19 (23), 11526-11534. |
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