Fractal analysis of Epilepsy EEG data
نویسندگان
چکیده
The epileptic seizure occurs at random by impaired brain functions. An epileptic seizure can be characterized in terms of paroxysmal occurrences of synchronous oscillations. In this paper, we suggest several approaches to evaluate the hidden characteristic of the data which can form the basis for diagnosis and prediction of epileptic seizures. These methodologies are applied on electroencephalogram signals collected from multiple electrodes and multiple features. We conducted experiments on electroencephalogram data with fractal dimension and Fast Fourier Transform. Our contributions are as follows; 1) we discover underlying dimension of epileptic seizure, 2) we detect the main frequency of epileptic seizure. These results can be applied on an automatic system for seizure prediction or epilepsy diagnosis.
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