Performance Evaluation of SWT and ICA Techniques for Automatic Separation between Oscillations and Epileptic Spikes by SWT and ICA Techniques
Jarray Ridha, Abir Hadriche, Nawel Jmail, Dadi Houssem, Ben Amar Chokri, Mourad Zaied · NeuroQuantology · 2022
In this work, we studied two approaches for separating the signal mixtures observed by FO electrodes, which are filtered techniques, independent component analysis (ICA) and transformed into wavelets. Precisely, we will study two methods to solve the problem of overlap between the spikes and the oscillation. To do this, we must first study the technique of analysis in independent components and implement it for the separation between these two biomarkers of epilepsy. Next, we will evaluate the performance of the ICA method and the Stationary Wavelet Transform (SWT) filtering method.