Evaluating bio-inspired approaches for advance prediction of epileptic seizures

Proceedings of the 2011 3rd World Congress on Nature and Biologically Inspired Computing, NaBIC 2011

Volumn , Issue , 2011, Pages 540-545

  Moghim, Negin ^a   Corne, David ^a  

^a HERIOT WATT UNIVERSITY   (United Kingdom)

Author keywords

EEG; epilepsy; feature selection; prediction; support vector machine

Indexed keywords

BIO-INSPIRED APPROACH; EPILEPSY; EPILEPTIC SEIZURES; FEATURE SETS; GLOBAL POPULATION; HIGH FREQUENCY SIGNALS; MULTI-CLASS SUPPORT VECTOR MACHINES; MUTUAL INFORMATIONS; NEUROLOGICAL DISORDERS; PREDICTION MODEL; SHORT TERM; STATISTICAL SIGNIFICANCE; SUPPORT VECTOR;

ELECTROENCEPHALOGRAPHY; FEATURE EXTRACTION; MATHEMATICAL MODELS; NEURAL NETWORKS; SUPPORT VECTOR MACHINES;

FORECASTING;

EID: 83755194818     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/NaBIC.2011.6089646     Document Type: Conference Paper

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