TY - JOUR
T1 - Identification of ionic conductances in a reentry model of ventricular myocardium cells
AU - Dastgheib, Z. S.
AU - Azemi, A.
AU - Khademi, M.
AU - Shajiee, M.
AU - Arvaneh, M.
AU - Gholizadeh, H.
AU - Sabzevari, V. R.
PY - 2009
Y1 - 2009
N2 - In this study, a new method will be introduced to find ionic conductance parameters of ventricular cell channels that are part of a reentry loop. These parameters play a significant role in generation and dispersion of a normal action potential and hence ECG signal and formation of a reentry. The dangerous phenomenon reentry, occur when an electrical impulse travels in a circle within the heart, rather than moving outward and then stopping. Depending on the timing, this can produce a sustained abnormal rhythm, a self-limiting burst of supraventricular tachycardia, or a dangerous ventricular tachycardia. Here, a detailed Luo-Rudy model has been used for modeling ventricular myocardium cells and construction of a one-dimensional ring for reentry simulations. The proposed method is based on using Genetic Algorithms to identify the unknown parameters. The advantage of the proposed method over Least Squares parameter estimation approach is provided.
AB - In this study, a new method will be introduced to find ionic conductance parameters of ventricular cell channels that are part of a reentry loop. These parameters play a significant role in generation and dispersion of a normal action potential and hence ECG signal and formation of a reentry. The dangerous phenomenon reentry, occur when an electrical impulse travels in a circle within the heart, rather than moving outward and then stopping. Depending on the timing, this can produce a sustained abnormal rhythm, a self-limiting burst of supraventricular tachycardia, or a dangerous ventricular tachycardia. Here, a detailed Luo-Rudy model has been used for modeling ventricular myocardium cells and construction of a one-dimensional ring for reentry simulations. The proposed method is based on using Genetic Algorithms to identify the unknown parameters. The advantage of the proposed method over Least Squares parameter estimation approach is provided.
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U2 - 10.3923/jas.2009.555.560
DO - 10.3923/jas.2009.555.560
M3 - Article
AN - SCOPUS:63049095988
SN - 1812-5654
VL - 9
SP - 555
EP - 560
JO - Journal of Applied Sciences
JF - Journal of Applied Sciences
IS - 3
ER -