Research Article
Development of a Patient-Specific Cardiovascular Simulator for Tailored Cardiovascular Management
@INPROCEEDINGS{10.1007/978-3-032-38657-1_21, author={Takuya Nishikawa}, title={Development of a Patient-Specific Cardiovascular Simulator for Tailored Cardiovascular Management}, proceedings={Body Area Networks. 20th EAI International Conference, BodyNets 2025, Okayama, Japan, December 2--4, 2025, Proceedings}, proceedings_a={BODYNETS}, year={2026}, month={10}, keywords={Cardiovascular simulator parameter optimization personalized medicine}, doi={10.1007/978-3-032-38657-1_21} }- Takuya Nishikawa
Year: 2026
Development of a Patient-Specific Cardiovascular Simulator for Tailored Cardiovascular Management
BODYNETS
Springer
DOI: 10.1007/978-3-032-38657-1_21
Abstract
Personalized cardiovascular medicine requires understanding individual patient cardiovascular characteristics. We developed a patient-specific cardiovascular simulator to reproduce hemodynamic characteristics of heart failure patients and quantify unmeasurable cardiac mechanical properties. We created 30 modified cases based on the SCG-RHC database from Physionet, including patients with heart failure with preserved ejection fraction (HFpEF) and reduced ejection fraction (HFrEF). The cardiovascular model utilized time-varying elastance for four cardiac chambers and vascular networks with compliance and resistance. Stepwise Bayesian optimization was employed to optimize nine parameters (ventricular contractility, stiffness, arterial resistance, compliance, and stressed blood volume) to match nine reference hemodynamic values. Parameter optimization achieved high accuracy with median error of 2.1% (1.7–2.8%). HFpEF patients increased significantly left ventricular contractility compared to HFrEF patients. Stressed blood volume remained unchanged between groups. Our approach successfully reproduced individual patient circulatory dynamics and enabled quantification of fundamental cardiac mechanical properties not measurable through conventional clinical methods. This represents an important advancement toward personalized cardiovascular medicine and optimized patient management.