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Chaotic analysis of Eectroencephalographic signal for sleep quality measurement

Authors
 Chung Ki LEE  ;  Sun K. YOO  ;  Han Gue JO 
Citation
 INTERNATIONAL JOURNAL OF AFFECTIVE ENGINEERING, Vol.13(1) : 65-70, 2014 
Journal Title
 INTERNATIONAL JOURNAL OF AFFECTIVE ENGINEERING 
ISSN
 2187-5413 
Issue Date
2014
Keywords
chaos ; sleep stage determination ; sleep quality
Abstract
Determination of the sleep stages is essential for sleep quality measurement, which is associated with person's daily activity, emotional disturbance, accidental risk, and illness. In this paper, we analyze electroencephalographic (EEG) signals by means of chaotic analysis methods. The EEG signals measured during sleep were modeled as the deterministic chaos system, whose representation was performed by phase space transformation. The extracted parameters from EEG signals include the delay time, the embedded dimension, the correlation dimension and the largest Lyapunov exponent. Throughout experimental observations, it has been demonstrated that extracted parameters can serve as a relative index for sleep stages identification. The difference between the light sleep and deep sleep was well discernible by all the extracted parameters, but differences within light sleep (between light sleep 1 and light sleep 2) and within deep sleep (between deep sleep 1 and deep sleep 2) were not significant. The standard error of the mean is helpful to discriminate wakefulness, and rapid eye movement (REM), in spite of their similar EEG signal patterns.
Files in This Item:
T201403286.pdf Download
DOI
10.5057/ijae.13.65
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Medical Engineering (의학공학교실) > 1. Journal Papers
Yonsei Authors
Yoo, Sun Kook(유선국) ORCID logo https://orcid.org/0000-0002-6032-4686
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/99832
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