A computational environment for long-term multi-feature and multi-algorithm seizure prediction

2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10

Volumn , Issue , 2010, Pages 6341-6344

  Teixeira, C A ^a   Direito, B ^a   Costa, R P ^b   Valderrama, M ^c   Feldwisch Drentrup, H ^d   Nikolopoulos, S ^c   Le Van Quyen, M ^c   Schelter, B ^d   Dourado, A ^a  

^a UNIVERSITY OF COIMBRA   (Portugal)

^b UNIVERSITY OF EDINBURGH   (United Kingdom)

^c CNRS   (France)

^d UNIVERSITY OF FREIBURG   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL ENVIRONMENTS; COMPUTATIONAL INTELLIGENCE METHODS; DAILY LIVES; FLEXIBLE TOOL; INTEGRATED EVALUATION; LONG-TERM RECORDING; MULTIPLE FEATURES; SEIZURE PREDICTION; SELECTION METHODS; SENSITIVITY AND SPECIFICITY; SOFTWARE TOOL;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; FORECASTING;

FEATURE EXTRACTION;

EID: 78650834887     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2010.5627637     Document Type: Conference Paper

References (8)

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3. A. Dourado, R. Martins, J. Duarte, and B. Direito, Towards Personalized Neural Networks for Epileptic Seizure Prediction, Artificial Neural Networks - ICANN 2008 ,LNCS, Springer, vol. 5164, 2008, pp. 479-487
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7. M. Winterhalder, T. Maiwald, H. U. Voss, R. Aschenbrenner-Scheibe, J. Timmer, and A. Schulze-Bonhage, The seizure prediction characteristic: a general framework to assess and compare seizure prediction methods, Epilepsy and Behavior, vol. 4, 2003, pp.318-325
8. C.-C. Chang, and C.-J. Lin, LIBSVM : a library for support vector machines, 2001. Software available at http://www.csie.ntu.edu.tw/cjlin/libsvm