Wearable, Multimodal, Biosignal Acquisition System for Potential Critical and Emergency Applications

Lin, C-T; Wang, C-Y; Huang, K-C; Horng, S-J; Liao, L-D

Wearable, Multimodal, Biosignal Acquisition System for Potential Critical and Emergency Applications

Lin, C-T Wang, C-Y Huang, K-C Horng, S-J Liao, L-D

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Publisher:: HINDAWI LTD
Publication Type:: Journal Article
Citation:: Emergency Medicine International, 2021, 2021, pp. 9954669
Issue Date:: 2021-06-10

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Field	Value	Language
dc.contributor.author	Lin, C-T
dc.contributor.author	Wang, C-Y
dc.contributor.author	Huang, K-C
dc.contributor.author	Horng, S-J
dc.contributor.author	Liao, L-D
dc.date.accessioned	2022-04-01T02:41:48Z
dc.date.available	2021-05-25
dc.date.available	2022-04-01T02:41:48Z
dc.date.issued	2021-06-10
dc.identifier.citation	Emergency Medicine International, 2021, 2021, pp. 9954669
dc.identifier.issn	2090-2840
dc.identifier.issn	2090-2859
dc.identifier.uri	http://hdl.handle.net/10453/155852
dc.description.abstract	For emergency or intensive-care units (ICUs), patients with unclear consciousness or unstable hemodynamics often require aggressive monitoring by multiple monitors. Complicated pipelines or lines increase the burden on patients and inconvenience for medical personnel. Currently, many commercial devices provide related functionalities. However, most devices measure only one biological signal, which can increase the budget for users and cause difficulty in remote integration. In this study, we develop a wearable device that integrates electrocardiography (ECG), electroencephalography (EEG), and blood oxygen machines for medical applications with the hope that it can be applied in the future. We develop an integrated multiple-biosignal recording system based on a modular design. The developed system monitors and records EEG, ECG, and peripheral oxygen saturation (SpO2) signals for health purposes simultaneously in a single setting. We use a logic level converter to connect the developed EEG module (BR8), ECG module, and SpO2 module to a microcontroller (Arduino). The modular data are then smoothly encoded and decoded through consistent overhead byte stuffing (COBS). This developed system has passed simulation tests and exhibited proper functioning of all modules and subsystems. In the future, the functionalities of the proposed system can be expanded with additional modules to support various emergency or ICU applications.
dc.format	Electronic-eCollection
dc.language	eng
dc.publisher	HINDAWI LTD
dc.relation	http://purl.org/au-research/grants/arc/DP180100670
dc.relation	http://purl.org/au-research/grants/arc/DP180100656
dc.relation.ispartof	Emergency Medicine International
dc.relation.isbasedon	10.1155/2021/9954669
dc.rights	info:eu-repo/semantics/openAccess
dc.title	Wearable, Multimodal, Biosignal Acquisition System for Potential Critical and Emergency Applications
dc.type	Journal Article
utslib.citation.volume	2021
utslib.location.activity	Egypt
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - AAII - Australian Artificial Intelligence Institute
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
utslib.copyright.status	open_access	*
dc.date.updated	2022-04-01T02:41:43Z
pubs.publication-status	Published online
pubs.volume	2021

Abstract:

For emergency or intensive-care units (ICUs), patients with unclear consciousness or unstable hemodynamics often require aggressive monitoring by multiple monitors. Complicated pipelines or lines increase the burden on patients and inconvenience for medical personnel. Currently, many commercial devices provide related functionalities. However, most devices measure only one biological signal, which can increase the budget for users and cause difficulty in remote integration. In this study, we develop a wearable device that integrates electrocardiography (ECG), electroencephalography (EEG), and blood oxygen machines for medical applications with the hope that it can be applied in the future. We develop an integrated multiple-biosignal recording system based on a modular design. The developed system monitors and records EEG, ECG, and peripheral oxygen saturation (SpO2) signals for health purposes simultaneously in a single setting. We use a logic level converter to connect the developed EEG module (BR8), ECG module, and SpO2 module to a microcontroller (Arduino). The modular data are then smoothly encoded and decoded through consistent overhead byte stuffing (COBS). This developed system has passed simulation tests and exhibited proper functioning of all modules and subsystems. In the future, the functionalities of the proposed system can be expanded with additional modules to support various emergency or ICU applications.

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http://hdl.handle.net/10453/155852