Improved Smart Pillow for Remote Health Care System

Li, S; Chiu, C

Improved Smart Pillow for Remote Health Care System

Li, S Chiu, C

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Publisher:: MDPI AG
Publication Type:: Journal Article
Citation:: Journal of Sensor and Actuator Networks, 2021, 10, (1), pp. 9
Issue Date:: 2021-01-28

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Field	Value	Language
dc.contributor.author	Li, S
dc.contributor.author	Chiu, C
dc.date.accessioned	2022-04-27T06:00:26Z
dc.date.available	2022-04-27T06:00:26Z
dc.date.issued	2021-01-28
dc.identifier.citation	Journal of Sensor and Actuator Networks, 2021, 10, (1), pp. 9
dc.identifier.issn	2224-2708
dc.identifier.issn	2224-2708
dc.identifier.uri	http://hdl.handle.net/10453/156657
dc.description.abstract	<jats:p>The outbreak of novel coronavirus (COVID-19) resulted in the clinical decision that reduced direct contact is optimal, especially for senior citizens residing in nursing homes. A smart pillow adapted for the Remote Healthcare System is presented in this paper, whose core is a Bluetooth (BT) host equipped with temperature and pressure sensors. The measurement of Core Body Temperature (CBT) from the perspective of heat transfer is first analyzed, with two proven effective methods introduced—classical Zero-Heat-Flux (ZHF) and Dual-Heat-Flux (DHF)—then finally the similarities between the Smart Pillow and ZHF are demonstrated. A pressure pad is inserted inside the pillow to detect occupancy and the specific position of the head on the pillow that meets clinical diagnostic needs. Furthermore, a real-time proactive monitoring mode is enabled for urgent warnings, which forces the pillow to keep detecting and reporting data in a defined time duration but results in rapid battery drain of the pillow. In this way, the system can detect the CBT and in-bed situation of the inhabitant without being physically present to determine critical measurements. Utility of this system can be extended to elderly people living alone in regional or remote areas, such that medical help can be dispatched as soon as possible in case of medical emergency.</jats:p>
dc.language	en
dc.publisher	MDPI AG
dc.relation.ispartof	Journal of Sensor and Actuator Networks
dc.relation.isbasedon	10.3390/jsan10010009
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	0805 Distributed Computing, 0906 Electrical and Electronic Engineering, 1005 Communications Technologies
dc.title	Improved Smart Pillow for Remote Health Care System
dc.type	Journal Article
utslib.citation.volume	10
utslib.for	0805 Distributed Computing
utslib.for	0906 Electrical and Electronic Engineering
utslib.for	1005 Communications Technologies
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Design, Architecture and Building
pubs.organisational-group	/University of Technology Sydney/Faculty of Design, Architecture and Building/School of Architecture
utslib.copyright.status	open_access	*
dc.date.updated	2022-04-27T06:00:10Z
pubs.issue	1
pubs.publication-status	Published online
pubs.volume	10
utslib.citation.issue	1

Abstract:

The outbreak of novel coronavirus (COVID-19) resulted in the clinical decision that reduced direct contact is optimal, especially for senior citizens residing in nursing homes. A smart pillow adapted for the Remote Healthcare System is presented in this paper, whose core is a Bluetooth (BT) host equipped with temperature and pressure sensors. The measurement of Core Body Temperature (CBT) from the perspective of heat transfer is first analyzed, with two proven effective methods introduced—classical Zero-Heat-Flux (ZHF) and Dual-Heat-Flux (DHF)—then finally the similarities between the Smart Pillow and ZHF are demonstrated. A pressure pad is inserted inside the pillow to detect occupancy and the specific position of the head on the pillow that meets clinical diagnostic needs. Furthermore, a real-time proactive monitoring mode is enabled for urgent warnings, which forces the pillow to keep detecting and reporting data in a defined time duration but results in rapid battery drain of the pillow. In this way, the system can detect the CBT and in-bed situation of the inhabitant without being physically present to determine critical measurements. Utility of this system can be extended to elderly people living alone in regional or remote areas, such that medical help can be dispatched as soon as possible in case of medical emergency.

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http://hdl.handle.net/10453/156657