Home About Login Current Archives Announcements Editorial Board
Submit Now For Authors Call for Submissions Statistics Contact
Home > Archives > Volume 20, No 5 (2022) > Article

DOI: 10.14704/nq.2022.20.5.NQ22175

Performance Evaluation of SWT and ICA Techniques for Automatic Separation between Oscillations and Epileptic Spikes by SWT and ICA Techniques

Jarray Ridha, Hadriche Abir, Jmail Nawel, Dadi Houssem, Ben Amar Chokri and Zaied Mourad


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.


Spikes, SWT, ICA, Epilepsy, FO.

Full Text