A new approach for EEG signal classification of schizophrenic and control participants

Expert Systems with Applications

Volumn 38, Issue 3, 2011, Pages 2063-2071

  Sabeti, M ^a   Katebi, S D ^a   Boostani, R ^a   Price, G W ^b  

^a SHIRAZ UNIVERSITY   (Iran)

^b UNIVERSITY OF WESTERN AUSTRALIA   (Australia)

Author keywords

Channel selection; EEG classification; Features reduction; Schizophrenic

Indexed keywords

ADABOOST; AGE-MATCHED CONTROLS; AUTO REGRESSIVE MODELS; CHANNEL SELECTION; CLASSIFICATION ACCURACY; CROSS VALIDATION; EEG CLASSIFICATION; EEG SIGNAL CLASSIFICATION; EFFICIENT COMPUTATION; ELECTROENCEPHALOGRAM SIGNALS; FEATURE REDUCTION; FEATURE SELECTION; FEATURE SETS; FEATURES REDUCTION; LINEAR DISCRIMINANT ANALYSIS; MUTUAL INFORMATIONS; NEUROPSYCHOLOGICAL; NEW APPROACHES; SCHIZOPHRENIC; SCHIZOPHRENIC PATIENTS; TEMPORAL LOBES; TWO STAGE PROCEDURE;

ADAPTIVE BOOSTING; DISCRIMINANT ANALYSIS; ELECTROENCEPHALOGRAPHY; FRACTAL DIMENSION; GENETIC PROGRAMMING; PRINCIPAL COMPONENT ANALYSIS;

FEATURE EXTRACTION;

EID: 78049528154     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2010.07.145     Document Type: Article

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