Real-time detection of epileptic seizures in animal models using reservoir computing

Epilepsy Research

Volumn 103, Issue 2-3, 2013, Pages 124-134

  Buteneers, Pieter ^a   Verstraeten, David ^a   Nieuwenhuyse, Bregt Van ^a   Stroobandt, Dirk ^a   Raedt, Robrecht ^a   Vonck, Kristl ^a   Boon, Paul ^a   Schrauwen, Benjamin ^a  

^a GHENT UNIVERSITY   (Belgium)

Author keywords

Automatic seizure detection; EEG classification; Experimental animal models for epilepsy; Neural networks; Reservoir computing

Indexed keywords

ABSENCE; ANIMAL EXPERIMENT; ANIMAL MODEL; ARTICLE; ARTIFICIAL NEURAL NETWORK; AUTOMATION; COMPLEX PARTIAL SEIZURE; DELAYED DIAGNOSIS; DIAGNOSTIC PROCEDURE; DISEASE MODEL; ELECTROENCEPHALOGRAM; EPILEPTIC STATE; FALSE POSITIVE RESULT; GENETIC MODEL; INTERMETHOD COMPARISON; NONHUMAN; PREDICTIVE VALUE; PRIORITY JOURNAL; PROCESS OPTIMIZATION; RAT; RAT STRAIN; RESERVOIR COMPUTING; SENSITIVITY ANALYSIS; TRANSGENIC ANIMAL;

ANIMALS; COMPUTATIONAL BIOLOGY; COMPUTER SYSTEMS; DISEASE MODELS, ANIMAL; ELECTROENCEPHALOGRAPHY; EPILEPSY; RATS; RATS, TRANSGENIC; RATS, WISTAR;

EID: 84873081960     PISSN: 09201211     EISSN: 18726844     Source Type: Journal    
DOI: 10.1016/j.eplepsyres.2012.07.013     Document Type: Article

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