Nonlinear 1D models consistently outperformed linear models in simulating large elastic arteries and pathological conditions while maintaining computational efficiency.
Systematic Review (n=19)
1D computational models provide a robust and computationally efficient framework for simulating global cardiovascular hemodynamics, with nonlinear and multiscale models offering enhanced physiological fidelity at the expense of higher computational demands.
Background Computational modeling of human circulatory system has evolved significantly in recent decades. Among the various modeling strategies, one-dimensional (1D) models have emerged as alternatives to more complex models because of their balance between physiological accuracy and computational efficiency. Objective This scoping review aimed to summarize and compare the studies on 1D computational models of the entire circulatory system, including those that incorporated additional 0D and 3D components. Methods A systematic search was performed for studies on computational 1D ...
Nóbrega et al. (Thu,) conducted a systematic review in Cardiovascular hemodynamics (n=19). Nonlinear and multiscale 1D computational models vs. Linear 1D models was evaluated on Physiological accuracy and computational efficiency in simulating global cardiovascular hemodynamics. Nonlinear 1D models consistently outperformed linear models in simulating large elastic arteries and pathological conditions while maintaining computational efficiency.