BITalino: A Novel Hardware Framework for Physiological Computing

Hugo Plácido da Silva, José Guerreiro, André Lourenço, Ana Fred, Raúl Martins

Abstract

Physical computing has spun a true global revolution in the way in which the digital interfaces with the real world. From bicycle jackets with turn signal lights to twitter-controlled christmas trees, the Do-it-Yourself (DiY) hardware movement has been driving endless innovations and stimulating an age of creative engineering. This ongoing (r)evolution has been led by popular electronics platforms such as the Arduino, the Lilypad, or the Raspberry Pi, however, these are not designed taking into account the specific requirements of biosignal acquisition. To date, the physiological computing community has been severely lacking a parallel to that found in the DiY electronics realm, especially in what concerns suitable hardware frameworks. In this paper, we build on previous work developed within our group, focusing on an all-in-one, low-cost, and modular biosignal acquisition hardware platform, that makes it quicker and easier to build biomedical devices. We describe the main design considerations, experimental evaluation and circuit characterization results, together with the results from a usability study performed with volunteers from multiple target user groups, namely health sciences and electrical, biomedical, and computer engineering.

References

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Paper Citation


in Harvard Style

Plácido da Silva H., Guerreiro J., Lourenço A., Fred A. and Martins R. (2014). BITalino: A Novel Hardware Framework for Physiological Computing . In Proceedings of the International Conference on Physiological Computing Systems - Volume 1: PhyCS, ISBN 978-989-758-006-2, pages 246-253. DOI: 10.5220/0004727802460253


in Bibtex Style

@conference{phycs14,
author={Hugo Plácido da Silva and José Guerreiro and André Lourenço and Ana Fred and Raúl Martins},
title={BITalino: A Novel Hardware Framework for Physiological Computing},
booktitle={Proceedings of the International Conference on Physiological Computing Systems - Volume 1: PhyCS,},
year={2014},
pages={246-253},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004727802460253},
isbn={978-989-758-006-2},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Physiological Computing Systems - Volume 1: PhyCS,
TI - BITalino: A Novel Hardware Framework for Physiological Computing
SN - 978-989-758-006-2
AU - Plácido da Silva H.
AU - Guerreiro J.
AU - Lourenço A.
AU - Fred A.
AU - Martins R.
PY - 2014
SP - 246
EP - 253
DO - 10.5220/0004727802460253