Methods for Seizure Detection and Prediction: An Overview

@inproceedings{Giannakakis2014MethodsFS,
  title={Methods for Seizure Detection and Prediction: An Overview},
  author={Giorgos A. Giannakakis and Vangelis Sakkalis and Matthew Pediaditis and Manolis Tsiknakis},
  year={2014}
}
Epilepsy is one of the most common neurological diseases and the most common neurological chronic disease in childhood. Electroencephalography (EEG) still remains one of the most useful and effective tools in understanding and treatment of epilepsy. To this end, many computational methods have been developed for both the detection and prediction of epileptic seizures. Techniques derived from linear/nonlinear analysis, chaos, information theory, morphological analysis, model-based analysis, all… CONTINUE READING
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