Automatic EEG signal classification for epilepsy diagnosis with Relevance Vector Machines

Expert Systems with Applications

Volumn 36, Issue 6, 2009, Pages 10054-10059

  Lima, Clodoaldo A M ^a   Coelho, André L V ^b   Chagas, Sandro ^a  

^a MACKENZIE PRESBYTERIAN UNIVERSITY   (Brazil)

^b UNIVERSITY OF FORTALEZA   (Brazil)

Author keywords

EEG signal classification; Epilepsy; Kernel machines; Sensitivity analysis

Indexed keywords

ACCURACY RATES; EEG SIGNAL CLASSIFICATION; EEG SIGNALS; ELECTRO-ENCEPHALOGRAM SIGNALS; EMPIRICAL RESULTS; EPILEPSY; EPILEPSY DETECTIONS; FEATURE EXTRACTION TECHNIQUES; INPUT DATUM; KERNEL FUNCTIONS; KERNEL MACHINES; KERNEL PARAMETERS; KERNEL-BASED LEARNING; PERFORMANCE LEVELS; PREDICTIVE ACCURACIES; RELEVANCE VECTOR MACHINES; SENSITIVITY PROFILES; STATISTICAL FEATURES; SUPPORT VECTORS;

ELECTROENCEPHALOGRAPHY; FACE RECOGNITION; SENSITIVITY ANALYSIS; SUPPORT VECTOR MACHINES;

FEATURE EXTRACTION;

EID: 64449084585     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2009.01.022     Document Type: Article

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