EEG Forward Problem Solution for a MultiShell Head Model
Nikita Gupta1, Swapna Devi2
1Nikita Gupta, Department of Electronics & Communication Engineering, NITTTR, Chandigarh, India.
2Dr. Swapna Devi, Department of Electronics & Communication Engineering, NITTTR, Chandigarh, India.
Manuscript received on 21 March 2013 | Revised Manuscript received on 28 March 2013 | Manuscript published on 30 March 2013 | PP: 5-7 | Volume-2 Issue-1, March 2013 | Retrieval Number: A0455032113/2013©BEIESP
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. 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: The forward problem of EEG deals with estimation of electrical potential difference measured over the scalp generated due to neural activity inside the brain. These signals measured over scalp are highly affected by the head characteristics taken into account. This work envisages the effect of taking white matter and gray matter into account while solving the forward EEG problem. The work shows that a five layered head model, comprising scalp, skull, cerebrospinal fluid, gray matter and white matter, is more accurate in finding forward EEG solution in comparison to a four layered comprising scalp, skull, CSF & Brain or three layered head model represented by scalp, skull & brain.
Keywords: EEG, Forward Problem, Head Model.
Scope of the Article: Problem Solving and Planning