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