NDLI: Detecting Nonlinear Properties of Snoring Sounds for Sleep Apnea Diagnosis

Content Provider	IEEE Xplore Digital Library
Author	Mikami, T.
Copyright Year	2008
Description	Author affiliation: Dept. Comput. Sci. & Eng., Tomakomai Coll. of Technol., Tomakomai (Mikami, T.)
Abstract	This paper investigates nonlinear properties of snoring sounds by a surrogate analysis which is generally used to verify the existence of nonlinearity in a time series. The ultimate goal of this study is to extract useful information from the nonlinear properties of snores so as to diagnose obstructive sleep apnea. For such purpose, many researchers have examined snoring sounds by linear frequency analysis such as Fourier Transform or Linear Predictive Coding, but the nonlinear properties of snores have not yet been clarified and the existence of nonlinearity has not been proved so far. The author adopts correlation integral to evaluate the geometrical nonlinear structure of snore attractors quantitatively. As a result of experiments, nonlinear properties are found in some kinds of waveform. But a complex waveform, in which no prominent peaks are found in the amplitude spectrum, does not have a nonlinear property.
Starting Page	1173
Ending Page	1176
File Size	364800
Page Count	4
File Format	PDF
ISBN	9781424417476
DOI	10.1109/ICBBE.2008.621
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-05-16
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Chaos Computer science Acoustical engineering Time series analysis Frequency Nonlinear acoustics Educational institutions Sleep apnea Paper technology Data mining
Content Type	Text
Resource Type	Article

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