Title :
Fitting membrane resistance in single cardiac myocytes reduces variability in parameters
Author :
Kaur, Jaspreet ; Nygren, Anders ; Vigmond, Edward J.
Author_Institution :
Univ. of Calgary, Calgary, AB, Canada
Abstract :
Mathematical models of single cardiac myocytes have a valuable role in driving progress in cardiac physiology and in exploring the electrophysiological mechanisms underlying heart function. Most of these models are used to mimic the results of experimentally observed biological phenomena measured in animal models, and can also provide quantitative insights into natural processes. Adjusting parameters in an ionic model to reproduce experimental behaviour is difficult. Mostly, researchers fit the only the net current to reproduce an action potential (AP) shape. However, even with an excellent AP match in the single cell, tissue behaviour can be vastly different. We hypothesize that this uncertainty can be reduced by additionally fitting Rm.
Keywords :
bioelectric potentials; biological tissues; biomedical measurement; biomembranes; cardiology; cellular biophysics; data analysis; electric current; medical computing; partial differential equations; pattern matching; physiological models; AP shape reproduction; action potential reproduction; animal model measurement; biological phenomena measurement; cardiac physiology; electrophysiological mechanism; experimental behaviour reproduction; heart function; ionic model parameter adjustment; mathematical model; membrane resistance fitting; net current fitting; parameter variability reduction; single cardiac myocyte model; single cell AP matching; tissue behaviour; Abstracts; Biological system modeling; Computational modeling; Genetics; MIMICs;
Conference_Titel :
Computing in Cardiology Conference (CinC), 2014
Print_ISBN :
978-1-4799-4346-3