Early Detection Of Epilepsy Based On Synchronization Degree

Abstract

In this work, the synchronization degree is calculated using bi-spectral analysis in order to distinguish between three sets of electroencephalogram signals: normal, pre-ictal, and epileptic seizure cases. The obtained results are compared to six parameters which also extracted from the same analysis; such as the entropies, the mean of bi-spectral amplitude, and weighted center of the bi-spectrum. The obtained results using the proposed algorithm are very satisfactory compared to the other parameters, and show that th