Complex networks approach for EEG signal sleep stages classification

M Diykh, Y Li - Expert Systems with Applications, 2016 - Elsevier
Sleep stage scoring is a challenging task. Most of existing sleep stage classification
approaches rely on analysing electroencephalography (EEG) signals in time or frequency …
被引用次数：98 相关文章

Complex networks approach for EEG signal sleep stages classification

M Diykh, Y Li - Expert Systems with Applications, 2016 - research.usq.edu.au
Sleep stage scoring is a challenging task. Most of existing sleep stage classification
approaches rely on analysing electroencephalography (EEG) signals in time or frequency …

Complex networks approach for EEG signal sleep stages classification

M Diykh, Y Li - Expert Systems with Applications, 2016 - infona.pl
Sleep stage scoring is a challenging task. Most of existing sleep stage classification
approaches rely on analysing electroencephalography (EEG) signals in time or frequency …

Complex networks approach for EEG signal sleep stages classification

M Diykh, Y Li - Expert Systems with Applications: An International …, 2016 - dl.acm.org
Developing a new EEG sleep stages classification method based on the statistical features
in time domain and complex networks properties. The method provides better EEG sleep …