Title
How accurately can cardiac conductivity values be determined from heart potential measurements?
Abstract
Although realistic cardiac electrophysiological simulations require accurate model parameters, no fully experimentally determined sets of six cardiac conductivity values exist. The present authors have recently proposed a method to determine the six bidomain conductivity values, for the extra- and intracellular domains in the longitudinal, transverse and normal directions, from measurements of potential made in cardiac tissue in vivo. The method uses a 3D mathematical model, a microelectrode measuring array and a novel inversion technique, which retrieves the conductivities and the fibre rotation angle from the potential measurements. In this work, a number of different data analysis methods are compared for realistically large sets of these simulated potential measurements and the best method is identified. Using synthetic data it is found that the three extracellular conductivities can be retrieved extremely accurately, with relative errors of less than 5%, even with noise of up to 40% added to the potential measurements. In addition, the intracellular longitudinal conductivity and the fibre rotation can be retrieved with relative errors at worst around the added noise. The intracellular transverse and normal conductivities are often more difficult to retrieve, with relative errors of around four times the added noise.
Year
Venue
Keywords
2014
CinC
bioelectric potentials,biological tissues,biomedical measurement,cardiology,cellular biophysics,data analysis,electrical conductivity,3d mathematical model,bidomain conductivity values,cardiac conductivity,cardiac electrophysiological simulations,extracellular conductivity,extracellular domains,fibre rotation angle,heart potential measurements,in vivo cardiac tissue,intracellular domains,intracellular longitudinal conductivity,intracellular normal conductivity,intracellular transverse conductivity,microelectrode measuring array,noise,conductivity,electric potential,heart
Field
DocType
Volume
Conductivity,Fiber,Biological system,Transverse plane,Data analysis,Electric potential,Synthetic data,Materials science,Electrophysiology,Microelectrode
Conference
41
ISSN
Citations 
PageRank 
2325-8861
0
0.34
References 
Authors
4
2
Name
Order
Citations
PageRank
Johnston, B.M.111.39
Peter R. Johnston28015.20