A new approach towards predictability of epileptic seizures: KLT dimension

Biomedical Sciences Instrumentation

Volumn 39, Issue , 2003, Pages 123-128

  Venugopal, Rajeshkumar ^a   Narayanan, K ^a   Prasad, Awadhesh ^a   Spanias, A ^a   Sackellares, J C ^b   Iasemidis, L D ^a  

^a Arizona State University   (United States)

^b UNIVERSITY OF FLORIDA   (United States)

Author keywords

Biomedical signal processing; Electroencephalogram; KLT; Lyapunov exponents; Seizure prediction; T index; Temporal lobe epilepsy

Indexed keywords

ACOUSTIC NOISE; ELECTROENCEPHALOGRAPHY; TIME DOMAIN ANALYSIS;

KARHUNEN-LOEVE TRANSFORM (KLT);

BIOMEDICAL ENGINEERING;

CONFERENCE PAPER; ELECTRODE; ELECTROENCEPHALOGRAM; EPILEPSY; HUMAN; KARHUNEN LOEVE TRANSFORM; LYAPUNOV EXPONENT; MATHEMATICAL ANALYSIS; PREDICTION; SEIZURE; SIGNAL PROCESSING; TEMPORAL LOBE EPILEPSY;

ALGORITHMS; BRAIN; BRAIN MAPPING; CEREBRAL CORTEX; ELECTROENCEPHALOGRAPHY; EPILEPSY; HIPPOCAMPUS; HUMANS; LINEAR MODELS; MODELS, NEUROLOGICAL; MONITORING, AMBULATORY; QUALITY CONTROL; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 0242668446     PISSN: 00678856     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Conference Paper

References (6)

1. L. Iasemidis, P. Pardalos, J. Sackellares, and D. Shiau, "Quadratic binary programming and dynamical system approach to determine the predictability of epileptic seizures," Journal of Combinatorial Optimization, vol. 5, pp. 9-26, 2001.
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4. L. Iasemidis and J. Sackellares, "The temporal lobe evolution of the largest Lyapunov exponent on the human epileptic cortex," in Measuring Chaos in Brain, D. Duke and W. Pritchard, Eds. Singapore: World Scientific, 1991, pp. 49-82.
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6. T. Moon and W. Stirling, Mathematical Methods and Algorithms for Signal Processing. Englewood Cliffs, NJ, USA: Prentice Hall, 2000.