Predictability analysis for an automated seizure prediction algorithm

Journal of Clinical Neurophysiology

Volumn 23, Issue 6, 2006, Pages 509-520

  Sackellares, J Chris ^a,b,e,h   Shiau, Deng Shan ^a,e   Principe, Jose C ^a,c   Yang, Mark C K ^d   Dance, Linda K ^a,e   Suharitdamrong, Wichai ^a,e   Chaovalitwongse, Wanpracha ^b,f   Pardalos, Panos M ^a   Iasemidis, Leonidas D ^g  

^a UNIVERSITY OF FLORIDA   (United States)

^b UNIVERSITY OF FLORIDA COLLEGE OF MEDICINE   (United States)

^c University of Florida   (United States)

^d Arizona State University ^*  (United States)

^e VETERANS AFFAIRS MEDICAL CENTER   (United States)

^f RUTGERS UNIVERSITY   (United States)

^g Arizona State University   (United States)

^h NONE   (United States)

Author keywords

Intracranial EEG; Na ve Prediction; Predictability Power; Seizure Predictability; Short Term Maximum Lyapunov Exponent

Indexed keywords

ADAPTIVE THRESHOLD SEIZURE WARNING ALGORITHM; ADULT; ARTICLE; AUTOANALYSIS; CALCULATION; CLINICAL ARTICLE; DEVICE; DYNAMICS; ELECTRODE; ELECTROENCEPHALOGRAM; EVALUATION; FEMALE; HUMAN; INTERMETHOD COMPARISON; MALE; PERFORMANCE; PREDICTION; ROC CURVE; SEIZURE; SHORT TERM MAXIMUM LYAPUNOV EXPONENT; SIGNAL DETECTION; TEMPORAL LOBE;

ADULT; ALGORITHMS; AUTOMATIC DATA PROCESSING; BRAIN MAPPING; DIAGNOSIS, COMPUTER-ASSISTED; ELECTRODES; ELECTROENCEPHALOGRAPHY; FEMALE; HUMANS; LONGITUDINAL STUDIES; MALE; MIDDLE AGED; PREDICTIVE VALUE OF TESTS; RETROSPECTIVE STUDIES; ROC CURVE; SEIZURES; SENSITIVITY AND SPECIFICITY; TIME FACTORS;

EID: 33845419916     PISSN: 07360258     EISSN: None     Source Type: Journal    
DOI: 10.1097/00004691-200612000-00003     Document Type: Article

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