NDLI: Detrended fluctuation analysis and spectral analysis of heart rate variability for sleep stage and sleep apnea identification

Content Provider	IEEE Xplore Digital Library
Author	Penzel, T. Kantelhardt, J.W. Becker, H.F. Peter, J.H. Bunde, A.
Copyright Year	2003
Description	Author affiliation: Hosp. of Phillips-Univ., Marburg, Germany (Penzel, T.; Kantelhardt, J.W.; Becker, H.F.; Peter, J.H.; Bunde, A.)
Abstract	In a systematic study we compared the performance of spectral analysis and detrended fluctuation analysis (DFA) to discriminate sleep stages and sleep apnea. We investigated 14 healthy subjects, 33 patients with moderate, and 31 patients with severe sleep apnea with polysomnography. Discriminance analysis was used on a person and sleep stage basis to determine the best method for the separation of sleep stages and sleep apnea severity. Using spectral parameters 69.7% of the apnea severity assignments and 54.6% of the sleep stage assignments were correct, while using scaling analysis these numbers increased to 74.4% and 85.0%, respectively. Changes in heart rate variability are better quantified by scaling analysis than by spectral analysis.
Sponsorship	European Soc. of Cardiology Nat. Inst. of Health, USA
Starting Page	307
Ending Page	310
File Size	307908
Page Count	4
File Format	PDF
ISBN	078038170X
ISSN	02766547
DOI	10.1109/CIC.2003.1291152
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-09-21
Publisher Place	Greece
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Spectral analysis Fluctuations Heart rate variability Sleep apnea Heart rate Doped fiber amplifiers Hafnium Heart rate detection Heart beat Pressure control
Content Type	Text
Resource Type	Article

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