Authors:
Hugo Plácido da Silva
1
;
José Guerreiro
1
;
André Lourenço
2
;
Ana Fred
1
and
Raúl Martins
1
Affiliations:
1
Instituto Superior Técnico, Portugal
;
2
Instituto Superior de Engenharia de Lisboa, Portugal
Keyword(s):
Biosignals, Instrumentation, Electromyography, Electrocardiography, Electrodermal Activity, Accelerometry.
Related
Ontology
Subjects/Areas/Topics:
Biomedical Devices for Computer Interaction
;
Collaboration and e-Services
;
Devices
;
e-Business
;
Enterprise Information Systems
;
Human-Computer Interaction
;
Physiological Computing Systems
;
Usability
;
Usability and Ergonomics
;
Web Information Systems and Technologies
;
Web Interfaces and Applications
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 con
siderations, 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.
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