Synthetic, Population-Based Virtual Patient Database Using a Digital Twin of the Cardiovascular System
The proposed methodology and first_blood solver effectively generate physiologically realistic virtual patient waveforms and demographic variability, providing a robust database for 3D cardiovascular simulations, machine-learning training datasets, and potential clinical decision support applications.
Authors
- Dániel Gyürki (ORCID: https://orcid.org/0000-0002-3124-808X)
- György Paál (ORCID: https://orcid.org/0000-0003-1426-2215)
- Benjámin Csippa (ORCID: https://orcid.org/0000-0002-6072-9712)
- Richárd Wéber (ORCID: https://orcid.org/0000-0002-2556-3841)
- Márta Viharos
Institutions
- Budapest University of Technology and Economics (HU)
Publication Details
- Journal
- Cardiovascular Engineering and Technology
- Published
- 2026-02-12
- DOI
- https://doi.org/10.1007/s13239-026-00822-4
- Primary Topic
- ECG Monitoring and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00