Paper Info
Title
Analysis of parametric estimation of head tissue conductivities using Electrical Impedance Tomography.
Abstract
We study the theoretical performance of using Electrical Impedance Tomography (EIT) to measure the conductivity of the main tissues of the head. The governing equations are solved using the Finite Element Method for realistically shaped head models with isotropic and anisotropic electrical conductivities. We focus on the Electroencephalography (EEG) signal frequency range since EEG source localization is the assumed application. We obtain the Cramer-Rao Lower Bound (CRLB) to find the minimum conductivity estimation error expected with EIT measurements. The more convenient electrode pairs selected for current injection from a typical EEG array are determined from the CRLB. Moreover, using simulated data, the Maximum Likelihood Estimator of the conductivity parameters is shown to be close to the CRLB for a relatively low number of measurements. The results support the idea of using EIT as a low-cost and practical tool for individually measure the conductivity of the head tissues, and to use them when solving the EEG source localization. Even when the conductivity of the soft tissues of the head is available from Diffusion Tensor Imaging, EIT can complement the electrical model with the estimation of the skull and scalp conductivities. (C) 2013 Elsevier Ltd. All rights reserved.
Year
DOI
Venue
2013
10.1016/j.bspc.2013.08.003
Biomedical Signal Processing and Control
Keywords
Field
DocType
Electrical Impedance Tomography,Cramér-Rao Bound,Maximum Likelihood Estimator,Electrical conductivity estimation,Skull anisotropy,Finite Element Method
Conductivity,Isotropy,Diffusion MRI,Anisotropy,Upper and lower bounds,Artificial intelligence,Cramér–Rao bound,Mathematical optimization,Pattern recognition,Finite element method,Acoustics,Mathematics,Electrical impedance tomography
Journal
Volume
Issue
ISSN
8
6
1746-8094
Citations 
PageRank 
References 
3
0.39
9
Authors
4
Name
Order
Citations
PageRank
Mariano Fernández-Corazza141.08
L Beltrachini2173.92
Nicolás von Ellenrieder3204.13
C. Muravchik454368.59