Multiresolution Analysis of EEG Signals

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Abstract

This paper reports on a multiresolution analysis of EEG signals. The dominant frequency components of signals with and without observed epileptic discharges were compared. The study showed that there were significant differences in dominant frequency between the signals with epileptic discharges and the signals without discharges. This gives the ability to identify epilepsy during EEG examination. The frequency of the signals coming from the frontal, central, parietal and occipital channels are similar. Multiresolution analysis can be used to describe the activity of brain waves and to try to predict epileptic seizures, thereby contributing to precise medical diagnoses.

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Studies in Logic, Grammar and Rhetoric

The Journal of University of Bialystok

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Cite Score 2017: 0.28

SCImago Journal Rank (SJR) 2017: 0.136
Source Normalized Impact per Paper (SNIP) 2017: 0.293

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