Automatic detection of REM sleep in subjects without atonia

Author

Kempfner, J. ; Jennum, Poul ; Nikolic, Marija ; Christensen, Julie A. E. ; Sorensen, Helge Bjarup Dissing

Author_Institution

Dept. of Electr. Eng., Tech. Univ. of Denmark, Lyngby, Denmark

fYear

2012

fDate

Aug. 28 2012-Sept. 1 2012

Firstpage

4242

Lastpage

4245

Abstract

Idiopathic Rapid-Eye-Movement (REM) sleep Behavior Disorder (iRBD) is a strong early marker of Parkinson´s Disease and is characterized by REM sleep without atonia (RSWA) and increased phasic muscle activity. Current proposed methods for detecting RSWA assume the presence of a manually scored hypnogram. In this study a full automatic REM sleep detector, using the EOG and EEG channels, is proposed. Based on statistical features, combined with subject specific feature scaling and post-processing of the classifier output, it was possible to obtain an mean accuracy of 0.96 with a mean sensititvity and specificity of 0.94 and 0.96 respectively.

Keywords

electro-oculography; electroencephalography; medical disorders; muscle; sleep; statistical analysis; vision; EEG channels; EOG channels; automatic detection; classifier output; full automatic REM sleep detector; idiopathic rapid-eye-movement sleep behavior disorder; manually scored hypnogram; mean accuracy; parkinsons disease; phasic muscle activity; post-processing; specific feature scaling; statistical features; Band pass filters; Electroencephalography; Electrooculography; Manuals; Medical diagnostic imaging; Muscles; Sleep; Diagnosis, Computer-Assisted; Electroencephalography; Electrooculography; Epilepsy, Generalized; Female; Humans; Male; Middle Aged; Polysomnography; REM Sleep Parasomnias; Reproducibility of Results; Sensitivity and Specificity; Sleep, REM;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE

Conference_Location

San Diego, CA

ISSN

1557-170X

Print_ISBN

978-1-4244-4119-8

Electronic_ISBN

1557-170X

Type

conf

DOI

10.1109/EMBC.2012.6346903

Filename

6346903