Combination of heterogeneous EEG feature extraction methods and stacked sequential learning for sleep stage classification

International Journal of Neural Systems

Volumn 23, Issue 3, 2013, Pages

  Herrera, L J ^b   Fernandes, C M ^a,b   Mora, A M ^b   Migotina, D ^a   Largo, R ^a   Guillen, A ^b   Rosa, A C ^a  

^a INSTITUTO SUPERIOR TÉCNICO   (Portugal)

^b UNIVERSITY OF GRANADA   (Spain)

Author keywords

EEG; feature extraction; feature selection; Sleep stage classification; support vector machines

Indexed keywords

CLASSIFICATION ACCURACY; ELECTROENCEPHALOGRAM SIGNALS; EXTRACTING INFORMATION; FEATURE EXTRACTION METHODS; SEQUENTIAL LEARNING; SLEEP STAGE; SYMBOLIC REPRESENTATION; WAVELET TRANSFORMATIONS;

ELECTROENCEPHALOGRAPHY; FEATURE EXTRACTION; SUPPORT VECTOR MACHINES;

SLEEP RESEARCH;

ADOLESCENT; ADULT; ALGORITHM; ARTICLE; BRAIN; CLASSIFICATION; ELECTROENCEPHALOGRAM; ELECTROENCEPHALOGRAPHY; FEMALE; HUMAN; LEARNING; MALE; PHYSIOLOGY; POLYSOMNOGRAPHY; SIGNAL PROCESSING; SLEEP STAGE; VIRUS CULTURE; YOUNG ADULT;

ADOLESCENT; ADULT; ALGORITHMS; BRAIN; BRAIN WAVES; ELECTROENCEPHALOGRAPHY; FEMALE; HUMANS; MALE; POLYSOMNOGRAPHY; SERIAL LEARNING; SERIAL PASSAGE; SIGNAL PROCESSING, COMPUTER-ASSISTED; SLEEP STAGES; YOUNG ADULT;

EID: 84877274155     PISSN: 01290657     EISSN: None     Source Type: Journal    
DOI: 10.1142/S0129065713500123     Document Type: Article

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