A neural network method for automatic and incremental learning applied to patient-dependent seizure detection

Clinical Neurophysiology

Volumn 116, Issue 8, 2005, Pages 1785-1795

  Wilson, Scott B ^a  

^a Persyst Development Corporation   (United States)

Author keywords

Algorithm; Bicoherence; Bispectrum; Electroencephalography; FFT spectrogram; Neural network; Probabilistic neural network; Seizure detection

Indexed keywords

ABSENCE; ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; CLINICAL ARTICLE; COMPLEX PARTIAL SEIZURE; CONTROLLED STUDY; CORRELATION ANALYSIS; DIAGNOSTIC ACCURACY; DIAGNOSTIC ERROR; DIAGNOSTIC PROCEDURE; EPILEPSY; GRAND MAL SEIZURE; HUMAN; INTERMETHOD COMPARISON; LEARNING; PRIORITY JOURNAL; SEIZURE; TONIC CLONIC SEIZURE;

AUTOMATION; EPILEPSY; FALSE POSITIVE REACTIONS; HUMANS; INTENSIVE CARE UNITS; LEARNING; MONITORING, PHYSIOLOGIC; NEURAL NETWORKS (COMPUTER); REPRODUCIBILITY OF RESULTS; SEIZURES; SENSITIVITY AND SPECIFICITY;

EID: 22844431998     PISSN: 13882457     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.clinph.2005.04.025     Document Type: Article

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