Computational modelling of blood-flow-induced changes in blood electrical conductivity and its contribution to the impedance cardiogram.
Studies have shown that blood-flow-induced change in electrical conductivity is of equal importance in assessment of the impedance cardiogram (ICG) as are volumetric changes attributed to the motion of heart, lungs and blood vessels. To better understand the sole effect of time-varying blood conductivity on the spatiotemporal distribution of trans-thoracic electric fields (i.e. ICG), this paper presents a segmented high-resolution (1 mm(3)) thoracic cardiovascular system, in which the time-varying pressures, flows and electrical conductivities of blood in different vessels are evaluated using a set of coupled nonlinear differential equations, red blood cell orientation and cardiac cycle functions. Electric field and voltage simulations are performed using two and four electrode configurations delivering a small alternating electric current to an anatomically realistic and electrically accurate model of modelled human torso. The simulations provide a three-dimensional electric field distribution and show that the time-varying blood conductivity alters the voltage potential difference between the electrodes by a maximum of 0.28% for a cardiac output of about 5 L min(-1). As part of a larger study, it is hoped that this initial model will be useful in providing improved insights into blood-flow-related spatiotemporal electric field variations and assist in the optimal placement of electrodes in impedance cardiography experiments.
Trakic
A
A
The School of ITEE, The University of Queensland, 78 Staff House Road, St Lucia 4072, Brisbane, Australia. trakic@itee.uq.edu.au
Akhand
M
M
Wang
H
H
Mason
D
D
Liu
F
F
Wilson
S
S
Crozier
S
S
D000465:Algorithms; D001794:Blood Pressure; D001808:Blood Vessels / Q000502:physiology; D002307:Cardiography, Impedance / Q000379:methods*; D003198:Computer Simulation; D004553:Electric Conductivity; D004560:Electricity; D004566:Electrodes; D004574:Electromagnetic Fields; D006321:Heart / Q000502:physiology; D006801:Humans; D008955:Models, Cardiovascular; D017711:Nonlinear Dynamics; D012039:Regional Blood Flow; D013909:Thorax / Q000098:blood supply* / Q000502:physiology*; D013997:Time Factors