Feature selection and artifact removal in sleep stage classification

Feature selection and artifact removal in sleep stage classification

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The use of Electroencephalograms (EEG) are essential to the analysis of sleep disorders in patients. With the use of electroencephalograms, electro-oculograms (EOG), and electromyograms (EMG), doctors and EEG technician can make conclusions about the sleep patterns of patients. In particular, th...

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Bibliographic Details
Main Author: Hapuarachchi, Pasan
Format: Others
Language:en
Published: University of Waterloo 2007
Subjects:
Electrical & Computer Engineering
sleep stage
EEG
EOG
EMG
ECG
artifact removal
feature extraction
feature selection
Neural Networks
Online Access:http://hdl.handle.net/10012/2879

Internet

http://hdl.handle.net/10012/2879

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