Higuchi fractal properties of onset epilepsy electroencephalogram (Q764170)

Summary: Epilepsy is a medical term which indicates a common neurological disorder characterized by seizures, because of abnormal neuronal activity. This leads to unconsciousness or even a convulsion. The possible etiologies should be evaluated and treated. Therefore, it is necessary to concentrate not only on finding efficient treatment methods, but also on developing algorithms to support diagnosis. Currently, there are a number of algorithms, especially nonlinear algorithms. However, these algorithms have some difficulties one of which is the impact of noise on the results. In this paper, in addition to the use of fractal dimension as a principal tool to diagnose epilepsy, the combination between the indepedent components algorithm (ICA) and averaging filter at the preprocessing step leads to some positive results. The combination which improved the fractal algorithm becomes robust with noise in EEG signals. As a result, we can see clearly fractal properties in preictal and ictal periods so as to epileptic diagnosis.