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

Keywords

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  • EP ID EP106965
  • DOI -
  • Views 103
  • Downloads 0

How To Cite

Shubhashree Savant, Mukta Dhopeshwarkar (2016). Prediction of Epileptic Seizure: A Review. IOSR Journals (IOSR Journal of Computer Engineering), 18(2), 28-30. https://europub.co.uk/articles/-A-106965