Seizure detection: An assessment of time- and frequency-based features in a unified two-dimensional decisional space using nonlinear decision functions

Journal of Clinical Neurophysiology

Volumn 26, Issue 6, 2009, Pages 381-391

  Tito, Maria ^a   Cabrerizo, Mercedes ^a   Ayala, Melvin ^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

Epilepsy; Feature extraction; IEEG; Nonlinear decision functions; Seizure detection

Indexed keywords

ADOLESCENT; ARTICLE; CHILD; CLINICAL ARTICLE; CLINICAL ASSESSMENT; CLINICAL FEATURE; DIAGNOSTIC ACCURACY; ELECTROENCEPHALOGRAM; EPILEPSY; FEMALE; HUMAN; INTRACRANIAL ELECTROENCEPHALOGRAM; INTRACTABLE EPILEPSY; MALE; MEDICAL DECISION MAKING; NONLINEAR SYSTEM; PATIENT MONITORING; PREOPERATIVE EVALUATION; SEIZURE; STATISTICAL ANALYSIS; TIME; TUBEROUS SCLEROSIS;

ADOLESCENT; ALGORITHMS; BRAIN; BRAIN MAPPING; CHILD; CHILD, PRESCHOOL; ELECTROENCEPHALOGRAPHY; FEMALE; HUMANS; MALE; NONLINEAR DYNAMICS; SEIZURES; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING, COMPUTER-ASSISTED; SPECTRUM ANALYSIS; TIME FACTORS;

EID: 74249108201     PISSN: 07360258     EISSN: None     Source Type: Journal    
DOI: 10.1097/WNP.0b013e3181c29928     Document Type: Article

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