Automatic sleep staging: A computer assisted approach for optimal combination of features and polysomnographic channels - Khalighi, Sirvan; Sousa, Teresa; Pires, Gabriel; Nunes, Urbano (Expert systems with applications, 2013)
Keywords: Applied sciences; Artificial intelligence; Automatic sleep staging; Biological and medical sciences; Channels; Computer science; control theory; systems; Data processing. List processing. Character string processing; EEC; Electrodiagnosis. Electric activity recording; Exact sciences and technology; Eye movements; Feature extraction; Features selection; Fundamental and applied biological sciences. Psychology; Invariants; Investigative techniques, diagnostic techniques (general aspects); Medical sciences; Memory organisation. Data processing; Nervous system; Patients; Pattern recognition. Digital image processing. Computational geometry; Polysomnographic signals; Sleep; Sleep dataset; Sleep. Vigilance; Software; Support vector machines; The maximum overlap discrete wavelet transform; Vertebrates: nervous system and sense organs; Wavelet transforms; Features selection; Sleep dataset; Automatic sleep staging; Polysomnographic signals; The maximum overlap discrete wavelet transform; Performance evaluation; Invariant; Histogram; Time frequency domain method; Expert; Electroencephalography; Overlap; Modeling; Eye movement; Vector support machine; Selection criterion; Electromyography; Hospital; Overlay; Pattern extraction; Frequency domain method; Pattern recognition; Discrete wavelet transforms; Polysomnography; Wake; Time domain method; Sleep; Wavelet transformation; Extreme value; Feature extraction; Automatic analysis