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
Link To Document :
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