Towards Personalized Neural Networks for Epileptic Seizure Prediction

Title:

Towards Personalized Neural Networks for Epileptic Seizure Prediction

Authors:

Antonio Dourado [ website | social ]

Ricardo Martins [ website | social ]

Joao Duarte [ website | social ]

Bruno Direito [ website | social ]

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.

Publisher:

International Conference on Neural Networks, ICANN 2008

Date Published:

2008-09-01

Publisher website:

http://www.springerlink.com/content/6l50455031t56415/

DOI:

10.1007/978-3-540-87559-8_50

Alternative full-text PDF:

download full-text PDF via University of Coimbra

Keywords:

Neural networks, artificial perception, Seizure, epilepsy

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Towards Personalized Neural Networks for Epileptic Seizure Prediction

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