Subdural EEG classification into seizure and nonseizure files using neural networks in the gamma frequency band

Journal of Clinical Neurophysiology

Volumn 28, Issue 1, 2011, Pages 20-29

  Ayala, Melvin ^a   Cabrerizo, Mercedes ^a   Jayakar, Prasanna ^b   Adjouadi, Malek ^a  

^a The Department of Electrical and Computer Engineering   (United States)

^b MIAMI CHILDREN'S HOSPITAL   (United States)

Author keywords

Artificial neural networks; Feature extraction; iEEG; Seizure detection

Indexed keywords

ACCURACY; ADOLESCENT; ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; CHILD; CLINICAL ARTICLE; ELECTROENCEPHALOGRAPHY; FREQUENCY ANALYSIS; GAMMA RHYTHM; HUMAN; PRESCHOOL CHILD; SCHOOL CHILD; SEIZURE; SENSITIVITY AND SPECIFICITY;

ADOLESCENT; ALGORITHMS; BRAIN MAPPING; BRAIN WAVES; CHILD; CHILD, PRESCHOOL; ELECTROENCEPHALOGRAPHY; FEMALE; HUMANS; MALE; NEURAL NETWORKS (COMPUTER); SEIZURES; SPECTRUM ANALYSIS; SUBDURAL SPACE;

EID: 79951671984     PISSN: 07360258     EISSN: None     Source Type: Journal    
DOI: 10.1097/WNP.0b013e31820512ee     Document Type: Article

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