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Implementation of the DiFrancesco-Noble model was characterized, including computational requirements, parameter estimates, and modifications to improve the accuracy of the fast sodium current.
The paper details the implementation, performance metrics, and necessary modifications of the DiFrancesco-Noble model for accurate computational simulation of cardiac tissue depolarization.
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Enhances fidelity of cardiac depolarization simulations; extends DiFrancesco-Noble framework but leaves open experimental validation.
The authors describe their experience in the implementation and the use of the DiFrancesco-Noble model. Clarifying references for the equations are given as well as a way to implement the equations in a propagation model. An estimate of the number of floating point operations required is given as well as the running times of functional programs in some widely used computers. A number of parameters useful in the design of numerical experiments like resting membrane resistance are also given. A short discussion on the accuracy of the equations for the fast sodium current is also included as well as some modifications made to the DiFrancesco-Noble equations, so that the depolarization rate was closer to real tissue experiments.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
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Cabo et al. (2003) studied this question. DiFrancesco-Noble model implementation was evaluated. Implementation of the DiFrancesco-Noble model was characterized, including computational requirements, parameter estimates, and modifications to improve the accuracy of the fast sodium current.
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