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December 23, 2020Computers in Biology and MedicineOpen Access

Operator-splitting alternating direction implicit (ADI) schemes achieved second-order accuracy in space and time while reducing computational time and memory compared to standard numerical methods.

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Why the study?

Numerical simulations of the cardiac monodomain model require fine mesh resolution, substantially increasing the computational resources needed.

Population

Simulations using regular wave, spiral wave reentry, and nonsymmetrical scroll wave

Comparison

Three operator-splitting ADI schemes vs standard semi-implicit Crank-Nicolson/Adams-Bashforth method

Design

Large-scale two- and three-dimensional numerical simulation study

Key result

Operator-splitting alternating direction implicit (ADI) schemes achieved second-order accuracy in space and time while reducing computational time and memory compared to standard numerical methods.

Authors

YBYoussef BelhamadiaZRZeinab Rammal

Discussion

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Overview

May accelerate cardiac model simulations; leaves open validation before clinical workflow integration.

Structured PICO

P
Population
Computational models of cardiac electrophysiology (regular wave, spiral wave reentry, and nonsymmetrical scroll wave)
I
Intervention
Three operator-splitting alternating direction implicit (ADI) schemes
C
Comparator
Standard semi-implicit Crank-Nicolson/Adams-Bashforth method
O
Outcome
Computational time and memory consumed

The proposed ADI schemes efficiently solve the nonlinear cardiac monodomain model, reducing computational time and memory while maintaining second-order accuracy.

Cite This Study

Belhamadia et al. (2020) studied Cardiac monodomain model (computational simulation). Operator-splitting alternating direction implicit (ADI) schemes vs. Standard semi-implicit Crank-Nicolson/Adams-Bashforth method was evaluated on Computational time and memory consumed. Operator-splitting alternating direction implicit (ADI) schemes achieved second-order accuracy in space and time while reducing computational time and memory compared to standard numerical methods.

synapsesocial.com/papers/6a6c1b3347a1bfb288f367efhttps://doi.org/10.1016/j.compbiomed.2020.104187
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