Detection of seizures from small samples using nonlinear dynamic system theory

IEEE Transactions on Biomedical Engineering

Volumn 43, Issue 7, 1996, Pages 743-751

  Yaylali, Ilker ^a,b   Koçak, Hüseyin ^c   Jayakar, Prasanna ^a,b  

^a MIAMI CHILDREN'S HOSPITAL   (United States)

^b University of Miami College of Engineering   (United States)

^c UNIVERSITY OF MIAMI   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DISEASES; ELECTROPHYSIOLOGY; MATHEMATICAL MODELS; NEUROLOGY; NEUROPHYSIOLOGY; PHYSIOLOGICAL MODELS;

ELECTROGRAPHIC SEIZURE ACTIVITY; NONLINEAR DYNAMIC SYSTEM THEORY; UNBIASED AUTOCOVARIANCE FUNCTION;

ELECTROENCEPHALOGRAPHY;

ALGORITHM; ARTICLE; CHILD; CLINICAL ARTICLE; DIAGNOSTIC ACCURACY; DIAGNOSTIC VALUE; ELECTROENCEPHALOGRAM; HUMAN; HUMAN CELL; HUMAN TISSUE; LINEAR ENERGY TRANSFER; MATHEMATICAL COMPUTING; MOLECULAR DYNAMICS; QUANTITATIVE DIAGNOSIS; RELIABILITY; SEIZURE;

ALGORITHMS; CALIBRATION; CHILD; ELECTROENCEPHALOGRAPHY; EPILEPSY; HUMANS; MALE; MODELS, NEUROLOGICAL; NONLINEAR DYNAMICS; PATTERN RECOGNITION, AUTOMATED; PREDICTIVE VALUE OF TESTS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 0030200521     PISSN: 00189294     EISSN: None     Source Type: Journal    
DOI: 10.1109/10.503182     Document Type: Article

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