DocumentCode :
504230
Title :
Automatic sleep stage determination for sleep apnea syndrome patients: Multivariate probability distribution based on expert knowledge
Author :
Wang, Bei ; Sugi, Takenao ; Kawana, Fusae ; Wang, Xingyu ; Nakamura, Masatoshi
Author_Institution :
Dept. of Autom., East China Univ. of Sci. & Technol., Shanghai, China
fYear :
2009
fDate :
18-21 Aug. 2009
Firstpage :
4659
Lastpage :
4662
Abstract :
In this study, the multivariate probability distribution was investigated to develop the expert knowledge-based automatic sleep stage determination technique. The ultimate purpose is to develop adaptive automatic sleep stage determination algorithm for clinical practice. Gaussian distribution was adopted to realize automatic parameter selection while Cauchy distribution was adopted to estimate the parameter distribution. The different usage of multivariate probability distribution of Gaussian and Cauchy distribution presented effectiveness for automatic sleep stage determination.
Keywords :
Gaussian distribution; neurophysiology; patient diagnosis; sleep; Cauchy distribution; Gaussian distribution; automatic parameter selection; automatic sleep stage determination; expert knowledge; multivariate probability distribution; parameter distribution; sleep apnea syndrome patients; Electroencephalography; Electromyography; Electronic mail; Gaussian distribution; Hospitals; Inspection; Parameter estimation; Physiology; Probability distribution; Sleep apnea; Automatic sleep stage determination; Expert knowledge; Multivariate probability distribution;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
ICCAS-SICE, 2009
Conference_Location :
Fukuoka
Print_ISBN :
978-4-907764-34-0
Electronic_ISBN :
978-4-907764-33-3
Type :
conf
Filename :
5332959
Link To Document :
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