Obstructive Sleep Apnea Detection Using Lomb-Scargle Periodogram Method

dc.contributor.author	Kavuran, G.
dc.contributor.author	Yeroglu, C.
dc.date.accessioned	2022-10-06T12:41:11Z
dc.date.available	2022-10-06T12:41:11Z
dc.date.issued	2019
dc.identifier.issn	9781538668788 (ISBN)
dc.identifier.uri	http://hdl.handle.net/11616/70270
dc.description.abstract	In this study, the power spectral density of the heart rate signal was investigated by the Lomb-Scargle Periodogram method for obstructive sleep apnea (OSA) estimation. Sleep apnea, which occurs as a result of respiratory failure during sleep, is interpreted by scoring polysomnographic signals. One of these signals, Electrocardiogram (ECG), contains noise in its structure and exhibits irregular alteration. In this study, the power spectrum of the heart rate variability (HRV) was obtained based on filtered ECG signals. Analyzes in the presence of OSA and in the absence of OSA have shown that deviations occur in the high and low frequency components of the HRV. © 2018 IEEE.
dc.source	2018 International Conference on Artificial Intelligence and Data Processing, IDAP 2018
dc.title	Obstructive Sleep Apnea Detection Using Lomb-Scargle Periodogram Method

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