DocumentCode
1586679
Title
Approximate Entropy from Overnight Pulse Oximetry for the Obstructive Sleep Apnea Syndrome
Author
Hornero, Roberto ; Álvarez, Daniel ; Abásolo, Daniel ; Gómez, Carlos ; Del Campo, Felix ; Zamarrón, Carlos
Author_Institution
ET.S. Ingenieros de Telecomunicacion, Valladolid Univ.
fYear
2006
Firstpage
6157
Lastpage
6160
Abstract
The aim of this preliminary study was to asses whether a time series analysis from overnight pulse oximetry by means of approximate entropy (ApEn) could yield essential information on the diagnosis of obstructive sleep apnea (OSA) syndrome. We analyzed the oxygen saturation (SaO2) signals of 74 patients (44 with a positive diagnosis of OSA and 30 with a negative diagnosis of OSA) by means of ApEn, which quantified the regularity (or complexity) of time series. Results showed that recurrence of apnea events in patients with OSA determined a significant increase in ApEn values with a mean plusmnstandard deviation (SD) of 1.07 plusmn 0.30. A mean plusmn SD ApEn value of 0.47 plusmn 0.25 was estimated in patients without OSA. We obtained an area under the ROC curve of 0.94. The optimum threshold was selected at 0.81, where we achieved a 79.5% sensitivity and 90% specificity. Further analyses are necessary with new and larger data set to test the potential value of our methodology prospectively
Keywords
diseases; entropy; oximetry; patient diagnosis; sleep; time series; approximate entropy; obstructive sleep apnea syndrome diagnosis; overnight pulse oximetry; oxygen saturation signals; time series analysis; Entropy; Hospitals; Noise level; Performance evaluation; Pollution measurement; Signal analysis; Sleep apnea; Testing; Time measurement; Time series analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the
Conference_Location
Shanghai
Print_ISBN
0-7803-8741-4
Type
conf
DOI
10.1109/IEMBS.2005.1615900
Filename
1615900
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