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
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.
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