Sixth International Workshop on Seizure Prediction
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چکیده
s are listed alphabetically by title within topics. Poster Topic Page Number Numbers 1-16 Seizure Prediction and Detection ............................................. Page 30 17-26 Neural Models and Mechanisms .............................................. Page 42 27-30 Epilepsy Connectome .............................................................. Page 50 31-35 Seizure Intervention ................................................................. Page 53 36-37 Systemic Interactions ............................................................... Page 56 38-41 Seizure Localization ................................................................. Page 58
منابع مشابه
The First International Collaborative Workshop on Seizure Prediction: summary and data description.
The First International Collaborative Workshop on Seizure Prediction was held at the Department of Epileptology, University of Bonn, in Bonn, Germany on April 24-28, 2002. Organized by the Universities of Pennsylvania and Bonn, and funded by grants from the American Epilepsy Society, the German Section of the International League against Epilepsy, and the German Section of the International Fed...
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Around 0.6-0.8% of the world’s population is affected by a re-current neurological disorder of epilepsy. Second only to stroke, epileptic seizures interrupt lives of 50 million people. The sudden and seemingly unpredictable nature of seizures is one of the most defeating facts of epilepsy. The ability to predict a rising seizure reliably can mitigate the severity of the disorder and open up new...
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Debates on six controversial topics were held during the Fourth International Workshop on Seizure Prediction (IWSP4) convened in Kansas City, KS, USA, July 4-7, 2009. The topics were (1) Ictogenesis: Focus versus Network? (2) Spikes and Seizures: Step-relatives or Siblings? (3) Ictogenesis: A Result of Hyposynchrony? (4) Can Focal Seizures Be Caused by Excessive Inhibition? (5) Do High-Frequenc...
متن کاملA multi-feature and multi-channel univariate selection process for seizure prediction.
OBJECTIVE To develop a prospective method for optimizing seizure prediction, given an array of implanted electrodes and a set of candidate quantitative features computed at each contact location. METHODS The method employs a genetic-based selection process, and then tunes a probabilistic neural network classifier to predict seizures within a 10 min prediction horizon. Initial seizure and inte...
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تاریخ انتشار 2013