Simulated Blood Flow: 1D Arterial Network
Abstract
This dataset provides simulated hemodynamic data for 100 healthy virtual patients, generated using a 1-Dimensional (1D) computational model of the arterial network. 1D modeling is a computationally efficient method for simulating blood flow and pressure wave propagation throughout the human arterial tree. It is widely used in cardiovascular research to study wave dynamics, pulse wave velocity (PWV), and the interaction between cardiac output and vascular properties without the high computational cost of 3D CFD simulations.
Fields of Study & Subjects
Cardiovascular Health and Disease Prevention
Elasticity and Material Modeling
Non-Invasive Vital Sign Monitoring
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 9 February 2026
- Document type
- Dataset