A noninvasive method to evaluate the degree of upper airway stenosis

Liang, J; Su, S; Zhang, X; Li, L; Luo, Y

A noninvasive method to evaluate the degree of upper airway stenosis

Liang, J Su, S

Zhang, X Li, L Luo, Y

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Publication Type:: Journal Article
Citation:: Biomedical Engineering - Applications, Basis and Communications, 2017, 29 (5)
Issue Date:: 2017-10-01

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Field	Value	Language
dc.contributor.author	Liang, J	en_US
dc.contributor.author	Su, S https://orcid.org/0000-0002-5720-8852	en_US
dc.contributor.author	Zhang, X	en_US
dc.contributor.author	Li, L	en_US
dc.contributor.author	Luo, Y	en_US
dc.date.issued	2017-10-01	en_US
dc.identifier.citation	Biomedical Engineering - Applications, Basis and Communications, 2017, 29 (5)	en_US
dc.identifier.issn	1016-2372	en_US
dc.identifier.uri	http://hdl.handle.net/10453/127235
dc.description.abstract	© 2017 National Taiwan University. Purpose: This paper presented a new approach to noninvasively evaluate the upper airway stenosis for obstructive sleep apnea syndrome (OSAS) patients. Methods: In the proposed method, thoracic and abdominal movements were selected to calculate the respiratory movement (RM) and to indicate the change of lung volume. Due to the cumulative effect of thermal sensor, the oronasal-Thermistor signal (T-flow) is applied to estimate the air mass change in lung. Based on the mathematical relationship, the "RM-T-flow curves", drawn by RM and T-flow, together with the correlation coefficients (rRM-TF) were used to analyze the upper airway stenosis. Results: This method was verified through portable monitoring (PM) based experiments, and numerical analysis of the polysomnography (PSG) data from 20 OSAS patients and 15 non-OSAS controls. Our results indicate the rRM-TF values decrease with the narrowing of the upper airway. At each sleep stage, the rRM-TF mean values of OSAS subjects are significantly (p<0.01) smaller than those of the controls. These facts demonstrate that the rRM-TF value can be used to quantify the upper airway stenosis and the analysis of "RM-T-flow curves" is an efficient way to assess upper airway condition associated with the breathing phase. Conclusions: As this method can be used in spontaneous sleep and home sleep testing, we believe it will benefit the popularity of the diagnosis and evaluation of OSAS.	en_US
dc.relation.ispartof	Biomedical Engineering - Applications, Basis and Communications	en_US
dc.relation.isbasedon	10.4015/S1016237217500351	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject.classification	Biomedical Engineering	en_US
dc.title	A noninvasive method to evaluate the degree of upper airway stenosis	en_US
dc.type	Journal Article
utslib.citation.volume	5	en_US
utslib.citation.volume	29	en_US
utslib.for	0903 Biomedical Engineering	en_US
utslib.for	1117 Public Health and Health Services	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
utslib.copyright.status	closed_access	*
pubs.issue	5	en_US
pubs.publication-status	Published	en_US
pubs.volume	29	en_US

Abstract:

© 2017 National Taiwan University. Purpose: This paper presented a new approach to noninvasively evaluate the upper airway stenosis for obstructive sleep apnea syndrome (OSAS) patients. Methods: In the proposed method, thoracic and abdominal movements were selected to calculate the respiratory movement (RM) and to indicate the change of lung volume. Due to the cumulative effect of thermal sensor, the oronasal-Thermistor signal (T-flow) is applied to estimate the air mass change in lung. Based on the mathematical relationship, the "RM-T-flow curves", drawn by RM and T-flow, together with the correlation coefficients (rRM-TF) were used to analyze the upper airway stenosis. Results: This method was verified through portable monitoring (PM) based experiments, and numerical analysis of the polysomnography (PSG) data from 20 OSAS patients and 15 non-OSAS controls. Our results indicate the rRM-TF values decrease with the narrowing of the upper airway. At each sleep stage, the rRM-TF mean values of OSAS subjects are significantly (p<0.01) smaller than those of the controls. These facts demonstrate that the rRM-TF value can be used to quantify the upper airway stenosis and the analysis of "RM-T-flow curves" is an efficient way to assess upper airway condition associated with the breathing phase. Conclusions: As this method can be used in spontaneous sleep and home sleep testing, we believe it will benefit the popularity of the diagnosis and evaluation of OSAS.

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http://hdl.handle.net/10453/127235