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Authors: A. Santos Ribeiro 1 ; D. Salvado 2 ; G. Evans 3 ; J. Soares Augusto 4 and H. A. Ferreira 3

Affiliations: 1 Imperial College London and University of Lisbon, United Kingdom ; 2 University of Lisbon and University College London, Portugal ; 3 University of Lisbon, Portugal ; 4 Instituto de Engenharia de Sistemas e Computadores: Investigação e Desenvolvimento, Portugal

ISBN: 978-989-758-006-2

Keyword(s): Multimodal Acquisition, Physiological Signals, Arduino, Mobile, Low-Cost.

Related Ontology Subjects/Areas/Topics: Applications ; Biomedical Devices for Computer Interaction ; Biomedical Engineering ; Biomedical Signal Processing ; Biosignal Acquisition, Analysis and Processing ; Devices ; Health Information Systems ; Human-Computer Interaction ; Methodologies and Methods ; Pattern Recognition ; Physiological Computing in Mobile Devices ; Physiological Computing Systems ; Physiology-Driven Computer Interaction ; Software Engineering ; Wearable Sensors and Systems

Abstract: Advances in low-voltage integrated circuits have enabled the development of low-cost, low-power, and downsized portable instrumentation. In the biomedical field, mobile sensing platforms provide an efficient way to monitor the physical condition of a subject. Moreover, these platforms provide an input for human-computer interaction. We developed a low-cost platform that can be adapted to acquire different electrophysiological signals, and interface with portable devices for storing, processing, and displaying of data. The developed platform was used to acquire electrocardiography (ECG), electromyography (EMG), electroencephalography (EEG), and electrooculography (EOG) signals, and the results were compared with signals obtained with the benchmark BIOPAC system. For the same frequency bands, results show that our portable platform was able to acquire electrophysiological signals with similar accuracy as those acquired with the BIOPAC system. Due to its simplicity, low-cost design, and easy implementation, the developed platform suits researchers, developers, and hobbyists, in the fields of physiological monitoring, human-computer interaction, and perceptual computing. (More)

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Paper citation in several formats:
Santos Ribeiro A., Salvado D., Evans G., Soares Augusto J. and Ferreira H. (2014). A Multimodal Low-cost Platform for Acquisition of Electrophysiological Signals Interfacing with Portable Devices.In Proceedings of the International Conference on Physiological Computing Systems - Volume 1: PhyCS, ISBN 978-989-758-006-2, pages 63-70. DOI: 10.5220/0004885000630070

@conference{phycs14,
author={A. Santos Ribeiro and D. Salvado and G. Evans and J. Soares Augusto and H. A. Ferreira},
title={A Multimodal Low-cost Platform for Acquisition of Electrophysiological Signals Interfacing with Portable Devices},
booktitle={Proceedings of the International Conference on Physiological Computing Systems - Volume 1: PhyCS,},
year={2014},
pages={63-70},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004885000630070},
isbn={978-989-758-006-2},
}

TY - CONF

JO - Proceedings of the International Conference on Physiological Computing Systems - Volume 1: PhyCS,
TI - A Multimodal Low-cost Platform for Acquisition of Electrophysiological Signals Interfacing with Portable Devices
SN - 978-989-758-006-2
AU - Santos Ribeiro A.
AU - Salvado D.
AU - Evans G.
AU - Soares Augusto J.
AU - Ferreira H.
PY - 2014
SP - 63
EP - 70
DO - 10.5220/0004885000630070

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