Please use this identifier to cite or link to this item: http://hdl.handle.net/10316/92469
Title: Towards Personalized Neural Networks for Epileptic Seizure Prediction
Authors: Dourado, António 
Martins, Ricardo Filipe Alves 
Duarte, João
Direito, Bruno 
Issue Date: 2008
Series/Report no.: Lecture Notes in Computer Science;
Volume: 5164
Abstract: Seizure prediction for untreatable epileptic patients, one of the major challenges of present neuroinformatics researchers, will allow a substantial improvement in their safety and quality of life. Neural networks, because of their plasticity and degrees of freedom, seem to be a good approach to consider the enormous variability of physiological systems. Several architectures and training algorithms are comparatively proposed in this work showing that it is possible to find an adequate network for one patient, but care must be taken to generalize to other patients. It is claimed that each patient will have his (her) own seizure prediction algorithms.
URI: http://hdl.handle.net/10316/92469
ISBN: 978-3-540-87558-1
978-3-540-87559-8
ISSN: 0302-9743
1611-3349
DOI: 10.1007/978-3-540-87559-8_50
Rights: openAccess
Appears in Collections:FCTUC Eng.Informática - Artigos em Livros de Actas

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