A systematic approach to seizure prediction using genetic and classifier based feature selection

International Conference on Digital Signal Processing, DSP

Volumn 2, Issue , 2002, Pages 603-606

  D'Alessandre, M ^a   Vachtseyanos, G ^a   Esteller, R ^b,c   Echauz, J ^c   Sewell, D ^a   Litt, B ^d  

^a GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

^b UNIVERSIDAD SIMÓN BOLÍVAR   (Venezuela)

^c NeuroPace Inc   (United States)

^d HOSPITAL OF THE UNIVERSITY OF PENNSYLVANIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DIGITAL SIGNAL PROCESSING; FEATURE EXTRACTION; FORECASTING; GENETIC ALGORITHMS; NEURAL NETWORKS; SIGNAL PROCESSING;

FALSE POSITIVE; FALSE POSITIVE RATES; FEATURE VECTORS; FEED FORWARD; PROBABILISTIC NEURAL NETWORKS; SEIZURE PREDICTION; SEQUENTIAL APPROACH; TRAINING DATA;

CLASSIFICATION (OF INFORMATION);

EID: 84948683815     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDSP.2002.1028162     Document Type: Conference Paper

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