Virtual dataset for the analysis of cardiovascular aging via carotid hemodynamic waveforms

This in-silico dataset contains hemodynamic arterial waveforms (pressure, flow, velocity, diameter) of 5,000+ healthy virtual subjects belonging to different age decades (20-80 years old), simulated via one-dimensional pulse wave modeling. The dataset has been extensively validated against in-vivo data. For details on the generation, validation, post-processing and analysis of this dataset please refer to: Full article: Suriani et al. 2024 - An in-silico study of the effects of cardiovascular aging on carotid flow waveforms and indices in a virtual population. https://doi.org/10.1152/ajpheart.00304.2023