Publication
BITalino: a novel hardware framework for physiological computing
| dc.contributor.author | Silva, Hugo Plácido da | |
| dc.contributor.author | Guerreiro, J. | |
| dc.contributor.author | Lourenço, André Ribeiro | |
| dc.contributor.author | Fred, Ana Luísa Nobre | |
| dc.contributor.author | Martins, Raúl | |
| dc.date.accessioned | 2015-08-18T15:15:16Z | |
| dc.date.available | 2015-08-18T15:15:16Z | |
| dc.date.issued | 2014 | |
| dc.description.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. Copyright © 2014 SCITEPRESS - Science and Technology Publications. All rights reserved. | por |
| dc.identifier.citation | SILVA, Hugo Plácido da; [et al] – BITalino: A novel hardware framework for physiological computing. In PhyCS 2014 - Proceedings of the International Conference on Physiological Computing Systems. SciTePress, 2014. ISBN: 978-989758006-2. P. 246-253. | |
| dc.identifier.isbn | 978-989758006-2 | |
| dc.identifier.uri | http://hdl.handle.net/10400.21/4821 | |
| dc.language.iso | eng | en |
| dc.peerreviewed | yes | por |
| dc.publisher | SciTePress | por |
| dc.relation | SFRH/PROTEC/49512/2009 | |
| dc.relation | Learning from Sequences (LearningS) | |
| dc.relation | MODELAÇÃO MULTI-MODAL DA COGNIÇÃO E EMOÇÃO | |
| dc.subject | Accelerometry | por |
| dc.subject | Biosignals | por |
| dc.subject | Electrocardiography | por |
| dc.subject | Electrodermal Activity | por |
| dc.subject | Electromyography | por |
| dc.subject | Instrumentation | por |
| dc.title | BITalino: a novel hardware framework for physiological computing | por |
| dc.type | conference object | |
| dspace.entity.type | Publication | |
| oaire.awardTitle | Learning from Sequences (LearningS) | |
| oaire.awardTitle | MODELAÇÃO MULTI-MODAL DA COGNIÇÃO E EMOÇÃO | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/3599-PPCDT/PTDC%2FEEI-SII%2F2312%2F2012/PT | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/FARH/SFRH%2FBD%2F65248%2F2009/PT | |
| oaire.citation.endPage | 253 | por |
| oaire.citation.startPage | 246 | por |
| oaire.citation.title | PhyCS 2014 - Proceedings of the International Conference on Physiological Computing Systems | por |
| oaire.fundingStream | 3599-PPCDT | |
| oaire.fundingStream | FARH | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| rcaap.rights | closedAccess | por |
| rcaap.type | conferenceObject | por |
| relation.isProjectOfPublication | 48934697-f0f8-4b61-930b-e6ee339e6396 | |
| relation.isProjectOfPublication | 943715af-a8d5-4cc4-99f9-660ad2877407 | |
| relation.isProjectOfPublication.latestForDiscovery | 48934697-f0f8-4b61-930b-e6ee339e6396 |
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