A Bayesian framework for analyzing iEEG data from a rat model of epilepsy

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

Volumn , Issue , 2011, Pages 1435-1438

  Santaniello, Sabato ^a   Sherman, David L ^a   Mirski, Marek A ^b   Thakor, Nitish V ^a   Sarma, Sridevi V ^a  

^a Johns Hopkins University   (United States)

^b JOHNS HOPKINS UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

A-POSTERIORI PROBABILITIES; BAYESIAN FRAMEWORKS; CLINICAL STATE; CONDITIONAL PROBABILITIES; CONNECTIVITY MATRIX; EARLY DETECTION; EPILEPTIC SEIZURES; FUNCTION OF TIME; INFORMATION STATE; MULTI-CHANNEL; MULTIVARIATE DATA; POSTERIORI; RAT MODEL; ROBUST DECISIONS; SINGULAR VALUES; SPECTRAL TECHNIQUES; TRANSITION PROBABILITIES;

HIDDEN MARKOV MODELS; MULTIVARIANT ANALYSIS; PROBABILITY; RATS;

STATISTICS;

ALGORITHM; ANIMAL; ARTICLE; AUTOMATED PATTERN RECOGNITION; BAYES THEOREM; COMPUTER ASSISTED DIAGNOSIS; ELECTROENCEPHALOGRAPHY; EPILEPSY; MALE; METHODOLOGY; RAT; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; SPRAGUE DAWLEY RAT; STATISTICAL ANALYSIS;

ALGORITHMS; ANIMALS; BAYES THEOREM; DATA INTERPRETATION, STATISTICAL; DIAGNOSIS, COMPUTER-ASSISTED; ELECTROENCEPHALOGRAPHY; EPILEPSY; MALE; PATTERN RECOGNITION, AUTOMATED; RATS; RATS, SPRAGUE-DAWLEY; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 84862252889     PISSN: 1557170X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2011.6090355     Document Type: Conference Paper

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