Comparison of entropy measures for estimating severity of obstructive sleep apnea from overnight pulse oximetry data

Golemati, S; Zourou, V; Nikita, KS

dc.contributor.author	Golemati, S	en
dc.contributor.author	Zourou, V	en
dc.contributor.author	Nikita, KS	en
dc.date.accessioned	2014-03-01T02:46:43Z
dc.date.available	2014-03-01T02:46:43Z
dc.date.issued	2010	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/32808
dc.subject	Obstructive Sleep Apnea	en
dc.subject	Obstructive Sleep Apnea Syndrome	en
dc.subject	pulse oximetry	en
dc.subject	Sampling Frequency	en
dc.subject	Shannon Entropy	en
dc.subject	Apnea Hypopnea Index	en
dc.subject.other	Data sampling	en
dc.subject.other	Entropy measure	en
dc.subject.other	Entropy value	en
dc.subject.other	Obstructive sleep apnea	en
dc.subject.other	Pulse oximetry	en
dc.subject.other	Sample entropy	en
dc.subject.other	Shannon entropy	en
dc.subject.other	Information technology	en
dc.subject.other	Noninvasive medical procedures	en
dc.subject.other	Oximeters	en
dc.subject.other	Sleep research	en
dc.subject.other	Entropy	en
dc.title	Comparison of entropy measures for estimating severity of obstructive sleep apnea from overnight pulse oximetry data	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/ITAB.2010.5687630	en
heal.identifier.secondary	http://dx.doi.org/10.1109/ITAB.2010.5687630	en
heal.identifier.secondary	5687630	en
heal.publicationDate	2010	en
heal.abstract	Regularity of overnight pulse oximetry data, which can be quantified using entropy, may be used to characterize severity of obstructive sleep apnea syndrome (OSAS). In this paper three entropy measures, namely Shannon-, approximate- and sample entropy, were compared in terms of their ability to discriminate between mild and severe OSAS. In a group of 5 mild OSAS subjects, with apnea hypopnea index (AHI) <10, and 20 severe OSAS subjects, with AHI>10, approximate and sample entropy, but not Shannon entropy, produced significantly higher values in the severe OSAS group. More importantly, it was shown that parameters, including the data sampling frequency, the window length m and the tolerance r, may considerably affect the estimated entropy values. It is concluded that approximate as well as sample entropy can both be efficiently used to estimate severity of OSAS from pulse oximetry, provided the above mentioned parameters are carefully defined. © 2010 IEEE.	en
heal.journalName	Proceedings of the IEEE/EMBS Region 8 International Conference on Information Technology Applications in Biomedicine, ITAB	en
dc.identifier.doi	10.1109/ITAB.2010.5687630	en