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Updated: Sep 17, 2025

Lumped-Parameter and Finite Element Modeling of Heart Failure with Preserved Ejection Fraction
Published on: February 13, 2021
Sensitivity analysis and optimization of a cardiovascular lumped parameter model for patient-specific modelling
Siti Munirah Muhammad Ali1,2, Wahbi El-Bouri3, Wan Naimah Wan Ab Naim1
1Faculty of Manufacturing and Mechatronic Engineering Technology, Universiti Malaysia Pahang, Pekan, Pahang, Malaysia.
Abstract:
Parameter estimation poses a significant challenge in developing patient-specific cardiovascular models. This study presents a framework that enhances parameter estimation in lumped parameter cardiovascular models by combining sensitivity analysis for parameter selection with multi-objective genetic algorithm optimization. Four key parameters were identified as the most influential and subsequently optimized. Model outputs, specifically mean arterial pressure (MAP), were validated against clinical values from a public database. The optimized model's MAP demonstrated a strong correlation with clinical MAP (r = 0.99997, p < 0.001), and a t-test analysis (p = 0.752) confirmed statistical equivalence with clinical data. This approach highlights the potential of sensitivity analysis and genetic algorithms to improve accuracy in patient-specific cardiovascular modelling.
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