Detection of epileptiform discharges in the EEG by a hybrid system comprising mimetic, self-organized artificial neural network, and fuzzy logic stages

Clinical Neurophysiology

Volumn 110, Issue 12, 1999, Pages 2049-2063

  James, Christopher J ^a   Jones, Richard D ^b,c   Bones, Philip J ^a   Carroll, Grant J ^b  

^a UNIVERSITY OF CANTERBURY   (New Zealand)

^b CHRISTCHURCH HOSPITAL   (New Zealand)

^c UNIVERSITY OF OTAGO   (New Zealand)

Author keywords

Artificial neural networks; Bayesian; Epileptiform discharges; Fuzzy logic; Self organized learning; Spikes

Indexed keywords

ARTICLE; ARTIFICIAL NEURAL NETWORK; BAYES THEOREM; CLINICAL ARTICLE; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; ELECTROENCEPHALOGRAM; EPILEPTIC DISCHARGE; HUMAN; MODEL; PRIORITY JOURNAL; SIGNAL DETECTION;

ADULT; AGED; AGED, 80 AND OVER; BRAIN; BRAIN MAPPING; CHILD; CHILD, PRESCHOOL; ELECTROENCEPHALOGRAPHY; EPILEPSY; FUZZY LOGIC; HUMANS; MIDDLE AGED; NEURAL NETWORKS (COMPUTER);

EID: 0032725545     PISSN: 13882457     EISSN: None     Source Type: Journal    
DOI: 10.1016/S1388-2457(99)00168-6     Document Type: Article

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