Using Artificial Intelligence Techniques For Epilepsy Treatment
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2016, Vol 18, Issue 3
Abstract
Abstract: Epilepsy is a combination of neurological disorders that causes people to have seizure. Immediate seizures occurring might cause injuries of the patients or other. Recent studies of epilepsy are based on two approaches. The first one is detecting and predicting epilepsy using algorithms based on EEG Analysis. The second approach is implanted devices for seizure. In this paper, we propose an algorithm for advanced seizure prediction. The approach can predict up to 5 minutes in advance. We combine the two approaches (Computer modeling and Advanced Prediction Algorithm) by proposing an algorithm that illuminates the need of a physician in implanted device RNS which is trained to continuously monitor brain signals and adjusting theparameters manually. The algorithm with which seizures can be predicted from EEG data is the main concern of this paper. The results reveal that the proposed algorithm is able to predict the seizure up to 5 minutes in advance with accuracy of 81.7%. Also, prediction accuracy ranges from 80.7% to 81.5% when considering the results for each individual channel.
Authors and Affiliations
Raneen Ali, Wessam H. El-Behaidy, and Atef Z. Ghalwash
Keywords
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