Towards Personalized Neural Networks for Epileptic Seizure Prediction
- Cite this paper as:
- Dourado A., Martins R., Duarte J., Direito B. (2008) Towards Personalized Neural Networks for Epileptic Seizure Prediction. In: Kůrková V., Neruda R., Koutník J. (eds) Artificial Neural Networks - ICANN 2008. ICANN 2008. Lecture Notes in Computer Science, vol 5164. Springer, Berlin, Heidelberg
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.
KeywordsEpilepsy data mining seizure prediction classification neural networks
Unable to display preview. Download preview PDF.