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Genetic fuzzy classifier for sleep stage identification

Authors
 Han G. Jo  ;  Jin Y. Park  ;  Chung K. Lee  ;  Suk K. An  ;  Sun K. Yoo 
Citation
 COMPUTERS IN BIOLOGY AND MEDICINE, Vol.40(7) : 629-634, 2010 
Journal Title
COMPUTERS IN BIOLOGY AND MEDICINE
ISSN
 0010-4825 
Issue Date
2010
MeSH
Adult ; Algorithms ; Computational Biology/methods* ; Databases, Factual ; Electroencephalography/methods* ; Fourier Analysis ; Fuzzy Logic* ; Humans ; Male ; Models, Genetic* ; Sensitivity and Specificity ; Sleep Stages/physiology*
Keywords
Electroencephalography ; Sleep stage ; Genetic algorithms ; Fuzzy inference system ; Individual difference
Abstract
Soft-computing techniques are commonly used to detect medical phenomena and help with clinical diagnoses and treatment. In this work, we propose a design for a computerized sleep scoring method, which is based on a fuzzy classifier and a genetic algorithm (GA). We design the fuzzy classifier based on the GA using a single electroencephalogram (EEG) signal that detects differences in spectral features. Polysomnography was performed on four healthy young adults (males with a mean age of 27.5 years). The sleep classifier was designed using a sleep record and tested on the sleep records of the subjects. Our results show that the genetic fuzzy classifier (GFC) agreed with visual sleep staging approximately 84.6% of the time in detection of wakefulness (WA), shallow sleep (SS), deep sleep (DS), and rapid eye movement (REM) stages
Full Text
http://www.sciencedirect.com/science/article/pii/S0010482510000715
DOI
10.1016/j.compbiomed.2010.04.007
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Medical Engineering (의학공학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Psychiatry (정신과학교실) > 1. Journal Papers
Yonsei Authors
Park, Jin Young(박진영) ORCID logo https://orcid.org/0000-0002-5351-9549
An, Suk Kyoon(안석균) ORCID logo https://orcid.org/0000-0003-4576-6184
Yoo, Sun Kook(유선국) ORCID logo https://orcid.org/0000-0002-6032-4686
Lee, Chung Ki(이충기)
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/101374
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