A Novel Oxygen-Hemoglobin Model for Non-Contact Sleep Monitoring of Oxygen Saturation

Tran, VP; Al-Jumaily, AA

A Novel Oxygen-Hemoglobin Model for Non-Contact Sleep Monitoring of Oxygen Saturation

Tran, VP

Al-Jumaily, AA

Permalink

Publication Type:: Journal Article
Citation:: IEEE Sensors Journal, 2019, 19 (24), pp. 12325 - 12332
Issue Date:: 2019-12-15

Closed Access

	Filename	Description	Size
	08830480.pdf	Published Version	1.23 MB	Adobe PDF	View/Open

Copyright Clearance Process

Recently Added
In Progress
Closed Access

This item is closed access and not available.

Full metadata record

Field	Value	Language
dc.contributor.author	Tran, VP https://orcid.org/0000-0001-9152-3875	en_US
dc.contributor.author	Al-Jumaily, AA https://orcid.org/0000-0003-0297-2463	en_US
dc.date.issued	2019-12-15	en_US
dc.identifier.citation	IEEE Sensors Journal, 2019, 19 (24), pp. 12325 - 12332	en_US
dc.identifier.issn	1530-437X	en_US
dc.identifier.uri	http://hdl.handle.net/10453/137541
dc.description.abstract	© 2001-2012 IEEE. This paper proposes a novel mathematical model that quantitatively defines the relationships between the arterial oxygen saturation (SaO2), the arterial partial pressure of oxygen (PaO2) and the arterial partial pressure of carbon dioxide (PaCO2). A novel non-contact algorithm that utilizes the mathematical model, multilayer perceptron (MLP) neural network and microwave Doppler radar to translate the human periodic chest displacements caused by respiratory efforts into peripheral capillary oxygen saturation (SpO2) measurements is also proposed. A database consisting of 20 obstructive sleep apnea (OSA) and chronic heart failure (CHF) patients, with total sleep duration of 155 hours, 1 minute and 30 seconds, is selected for the ' Training,' ' Validation ' and independent ' Test ' of the SpO2 predictions. For independent ' Test ' dataset with total sleep duration of 54 hours, 15 minutes and 31.5 seconds, the SpO2 predictions correlation coefficient achieved 0.93 with sum squared error (SSE) of 1.3 (% of oxygen saturation) and the 95% limits of agreement of ±2.5 (% of oxygen saturation). These results demonstrate and proven the feasibility of non-contact SpO2 predictions using microwave Doppler radar in the complexity of sleep environment. A potential application could be non-contact sleep monitoring of oxygen saturation in the home.	en_US
dc.relation.ispartof	IEEE Sensors Journal	en_US
dc.relation.isbasedon	10.1109/JSEN.2019.2940228	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject.classification	Analytical Chemistry	en_US
dc.title	A Novel Oxygen-Hemoglobin Model for Non-Contact Sleep Monitoring of Oxygen Saturation	en_US
dc.type	Journal Article
utslib.citation.volume	24	en_US
utslib.citation.volume	19	en_US
utslib.for	0102 Applied Mathematics	en_US
utslib.for	0906 Electrical and Electronic Engineering	en_US
utslib.for	0205 Optical Physics	en_US
utslib.for	0913 Mechanical Engineering	en_US
pubs.embargo.period	Not known	en_US
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/Faculty of Engineering and Information Technology/School of Biomedical Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CHT - Health Technologies
pubs.organisational-group	/University of Technology Sydney/Students
utslib.copyright.status	closed_access	*
pubs.issue	24	en_US
pubs.publication-status	Published	en_US
pubs.volume	19	en_US

Abstract:

© 2001-2012 IEEE. This paper proposes a novel mathematical model that quantitatively defines the relationships between the arterial oxygen saturation (SaO2), the arterial partial pressure of oxygen (PaO2) and the arterial partial pressure of carbon dioxide (PaCO2). A novel non-contact algorithm that utilizes the mathematical model, multilayer perceptron (MLP) neural network and microwave Doppler radar to translate the human periodic chest displacements caused by respiratory efforts into peripheral capillary oxygen saturation (SpO2) measurements is also proposed. A database consisting of 20 obstructive sleep apnea (OSA) and chronic heart failure (CHF) patients, with total sleep duration of 155 hours, 1 minute and 30 seconds, is selected for the ' Training,' ' Validation ' and independent ' Test ' of the SpO2 predictions. For independent ' Test ' dataset with total sleep duration of 54 hours, 15 minutes and 31.5 seconds, the SpO2 predictions correlation coefficient achieved 0.93 with sum squared error (SSE) of 1.3 (% of oxygen saturation) and the 95% limits of agreement of ±2.5 (% of oxygen saturation). These results demonstrate and proven the feasibility of non-contact SpO2 predictions using microwave Doppler radar in the complexity of sleep environment. A potential application could be non-contact sleep monitoring of oxygen saturation in the home.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/137541