An entropy-based approach to predict seizures in temporal lobe epilepsy using scalp EEG

We describe a novel algorithm for the prediction of epileptic seizures using scalp EEG. The method is based on the analysis of the positive zero-crossing interval series of the EEG signal and its first and second derivatives as a measure of brain dynamics. In a moving-window analysis, we estimated t...

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Bibliographic Details
Published in:	2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society Vol. 2009; pp. 228 - 231
Main Authors:	Zandi, A.S., Dumont, G.A., Javidan, M., Tafreshi, R.
Format:	Conference Proceeding Journal Article
Language:	English
Published:	United States IEEE 01-01-2009
Subjects:	Algorithm design and analysis Algorithms Diagnosis, Computer-Assisted - methods Electroencephalography Electroencephalography - methods Entropy Epilepsy Epilepsy - diagnosis Epilepsy, Temporal Lobe - diagnosis Humans Neurons Prediction algorithms Reproducibility of Results Scalp Sensitivity and Specificity Signal analysis Temporal lobe USA Councils
Online Access:	Get full text
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