DocumentCode :
156385
Title :
LORETA solution for spatio-temporal EEG source reconstruction
Author :
Boughariou, Jihene ; Zouch, Wassim ; Ben Hamida, Ahmed
Author_Institution :
Adv. Technol. Med. & Signals `ATMS´, Sfax Univ., Sfax, Tunisia
fYear :
2014
fDate :
17-19 March 2014
Firstpage :
237
Lastpage :
242
Abstract :
In this paper, we presented the famous method called Low resolution brain electromagnetic tomography (LORETA) used for the localization of neural electrical current. This method is used to solve the EEG (electroencephalography) inverse problems. In this study, we focused on the localization accuracy and time behavior of the LORETA method. Therefore, this method is tested using three simulated dipole configurations; single dipole, two distinct dipoles and one moving dipole. After that, the effect of the time component is highlighted on the localization accuracy and the importance of taking the maximum or average activity during our time window in the distinction peaks of activity.
Keywords :
bioelectric potentials; electric current; electroencephalography; inverse problems; medical signal processing; neurophysiology; signal resolution; spatiotemporal phenomena; LORETA solution; average activity; distinct dipoles; electroencephalography; localization accuracy; low-resolution brain electromagnetic tomography; moving dipole; neural electrical current localization; single dipole; spatio-temporal EEG source reconstruction; three-simulated dipole configurations; time window; Brain modeling; Current density; Electric potential; Electroencephalography; Inverse problems; Mathematical model; Tomography; Electric neuronal activity; Inverse problem; LORETA; time component;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Technologies for Signal and Image Processing (ATSIP), 2014 1st International Conference on
Conference_Location :
Sousse
Type :
conf
DOI :
10.1109/ATSIP.2014.6834614
Filename :
6834614
Link To Document :
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