Improved EEG Source Localization for an Isotropic Multi – Spherical Head Model
Nikita Gupta1, Swapna Devi2
1Nikita Gupta, Department of ECE, NITTTR, Panjab University, Chandigarh, India.
2Swapna Devi, Department of ECE, NITTTR, Panjab University, Chandigarh, India.
3D. Ghosh, Department of ECE, Future Institute of Engineering & Management, Kolkata, India.
Manuscript received on April 03, 2013. | Revised Manuscript received on April 29, 2013. | Manuscript published on May 05, 2013. | PP: 75-78 | Volume-3, Issue-2, May 2013. | Retrieval Number: B1507053213 /2013©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Human head comprises multiple layers and tissues. The aim of this work is to investigate the effect of conductivity variation, due to presence of Gray matter and White matter in Brain, on Source Localization in Electroencephalography (EEG). Particle Swarm Optimization (PSO) Algorithm, a global optimization algorithm, has been used for finding Inverse Solution of EEG. It has been found that a five-spherical head model comprising, Scalp, Skull, CSF, Gray Matter and White Matter give better performance in source localization than a four spherical head model comprising, Scalp, Skull, CSF and Brain.
Keywords: EEG, Head Models, PSO, Source Localization.