DocumentCode
3238169
Title
Blind Extraction of Microsleep Events
Author
Leong, Wai Yie ; Mandic, Danilo P. ; Golz, Martin ; Sommer, David
Author_Institution
Imperial Coll. London, London
fYear
2007
fDate
1-4 July 2007
Firstpage
207
Lastpage
210
Abstract
The aim of this study is to detect the occurrence of microsleep events in an overnight driving task. We propose a biosignal analysis method for the detection and extraction of microsleep events. This is achieved by employing blind source extraction method based on a cascaded nonlinear estimator to extract the relevant microsleep events. The cascaded nonlinear estimator jointly estimates the kurtosis and measure the nonlinearity and noise effects within the biosignal. This proposed method was applied to the electroencephalogram and electroculogram recorded of 12 young volunteers while performing monotonic overnight driving in a real car driving simulation laboratory. The extracted microsleep signals can then be used for driving simulation pilot studies for alertness monitoring, and to trigger the activation of alertness countermeasures.
Keywords
blind source separation; electro-oculography; electroencephalography; medical signal processing; neurophysiology; sleep; biosignal analysis method; blind source extraction; cascaded nonlinear estimator; electroculogram; electroencephalogram; microsleep events; Brain modeling; Data mining; Detectors; Diseases; Electroencephalography; Electrooculography; Event detection; Fatigue; Magnetic heads; State estimation; Blind source separation; adaptive cascaded nonlinear prediction; blind source extraction; noisy mixtures; nonlinear model;
fLanguage
English
Publisher
ieee
Conference_Titel
Digital Signal Processing, 2007 15th International Conference on
Conference_Location
Cardiff
Print_ISBN
1-4244-0882-2
Electronic_ISBN
1-4244-0882-2
Type
conf
DOI
10.1109/ICDSP.2007.4288555
Filename
4288555
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