Numerical Simulations of EEG Fields in Three Head Models
Peng Li, Anhuai Xu, Mingming Peng · Advances in engineering research/Advances in Engineering Research · 2015
Electroencephalogrphy (EEG) is a non-invasive method of measuring the electrical activity of the brain.Head model and an efficient method for computing the forward EEG problem are essential to dipole source localization (DSL).In this paper, we use a less expensive nonspherical model to approximate human head.Using this head model, we develop the formulation for computing the forward EEG field by introducing Point Least Square (PLS) method based on Weighted Residual with compactly supported functions.The numerical simulations are implemented in three head models, aiming at investigating the effects of head shape and dipole source parameters on EEG/MEG fields.We also show that PLS method with the trigonometric basis is superior to the constant basis, linear basis, and quadratic basis functions in accuracy and efficiency.