Effect of Noise and Number of Sensors on EEG Source Localization in Dipole Fitting Method


25th Signal Processing and Communications Applications Conference (SIU), Antalya, Türkiye, 15 - 18 Mayıs 2017 identifier identifier


With the help of the electrodes placed on the surface of the head, the electrical potentials of the brain are measured by EEG recording. The high temporal resolution is one of the most important advantages of this method and it helps to observe short time changes. One of the important topic in the field of EEG is the implementation of source localization. For this purpose it is aimed to find the region of interest area causing the related brain waves. The forward and inverse problem steps are used to achieve this goal. In this study, EEG simulations were obtained using different number of sensors, then on these signals, It has been tried to determine the source by the dipole fitting method in the inverse problem solving step. The number of different sensors in the study and how close to the target results in different noise situations are observed.