Prediction of Epileptic Seizure: A Review
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2016, Vol 18, Issue 2
Abstract
Abstract: Epilepsy is a neurological disorder affecting about 50 million people worldwide. Many techniques have been developed for predicting the basic features of epileptic seizures. Techniques used to forecast seizures include frequency-based methods, statistical analysis of EEG signals, devices to warn seizures etc.. Effective treatments require reliable prediction of seizures to increase their effectiveness and quality-of-life. One of the most dangerous aspects of seizures is its unpredictability. Seizure prediction is an important aim of clinical management and treatment in completely controlling a patient’s epilepsy. This paper reviews the prediction of epileptic seizure used during last decade.
Authors and Affiliations
Shubhashree Savant , Mukta Dhopeshwarkar
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