Automated detection of videotaped neonatal seizures of epileptic origin

Epilepsia

Volumn 47, Issue 6, 2006, Pages 966-980

  Karayiannis, Nicolaos B ^a,d   Xiong, Yaohua ^a   Tao, Guozhi ^a   Frost Jr , James D ^b   Wise, Merrill S ^b   Hrachovy, Richard A ^b,c   Mizrahi, Eli M ^b  

^a University of Houston   (United States)

^b BAYLOR COLLEGE OF MEDICINE   (United States)

^c MICHAEL E DEBAKEY VETERANS AFFAIRS MEDICAL CENTER   (United States)

^d UNIVERSITY OF HOUSTON   (United States)

Author keywords

Motion segmentation; Motion tracking; Motion strength signal; Motion trajectory signal; Neonatal seizure; Neural network; Quantitative feature; Video recording

Indexed keywords

ARTICLE; ARTIFICIAL NEURAL NETWORK; BENIGN CHILDHOOD EPILEPSY; CLINICAL FEATURE; CLONIC SEIZURE; COMPUTER ASSISTED DIAGNOSIS; HUMAN; MAJOR CLINICAL STUDY; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; MOTION; MYOCLONUS SEIZURE; NEWBORN; NEWBORN DISEASE; PRIORITY JOURNAL; QUANTITATIVE ANALYSIS; SEIZURE; SENSITIVITY AND SPECIFICITY; VIDEORECORDING;

AUTOMATION; DIAGNOSIS, COMPUTER-ASSISTED; ELECTROENCEPHALOGRAPHY; EPILEPSIES, MYOCLONIC; EPILEPSIES, PARTIAL; EPILEPSY; EPILEPSY, BENIGN NEONATAL; HUMANS; INFANT BEHAVIOR; INFANT, NEWBORN; INTENSIVE CARE UNITS, NEONATAL; MATHEMATICAL COMPUTING; MOVEMENT; NEURAL NETWORKS (COMPUTER); NUMERICAL ANALYSIS, COMPUTER-ASSISTED; SENSITIVITY AND SPECIFICITY; VIDEOTAPE RECORDING;

EID: 33744496025     PISSN: 00139580     EISSN: 15281167     Source Type: Journal    
DOI: 10.1111/j.1528-1167.2006.00571.x     Document Type: Article

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