Automated sleep stage identification system based on time-frequency analysis of a single EEG channel and random forest classifier

Article ID	Journal	Published Year	Pages	File Type
10345593	Computer Methods and Programs in Biomedicine	2012	10 Pages	PDF

Abstract

âº A new method for automated sleep scoring is proposed. âº A new technique based on time-frequency analysis of EEG signal is proposed. âº Random forest classifier has successfully classified sleep stages.

Keywords

Hilbert–Huang Transform (HHT)Continuous wavelet transform (CWT)Time–frequency analysis Random Forest classifier

Related Topics

Physical Sciences and Engineering Computer Science Computer Science (General)

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Automated sleep stage identification system based on time-frequency analysis of a single EEG channel and random forest classifier

Authors

Luay Fraiwan, Khaldon Lweesy, Natheer Khasawneh, Heinrich Wenz, Hartmut Dickhaus,