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| Υπολογιστική Ρευστοδυναμική (CFD) στην Αιμοδυναμική× | Μεταβλητότητα Καρδιακής Συχνότητας× | |
|---|---|---|
| Πεδίο | Εμβιομηχανική | Εμβιομηχανική |
| Οικογένεια | Process / pipeline | Process / pipeline |
| Έτος προέλευσης≠ | 2002 | 1996 |
| Δημιουργός≠ | David Steinman | Task Force of European Society of Cardiology |
| Τύπος≠ | Multi-physics finite element simulation | Time-series and frequency-domain analysis pipeline |
| Θεμελιώδης πηγή≠ | Steinman, D. A., Vinh, B., Ethier, C. R., Ojha, M., Cobbold, R. S., & Johnston, K. W. (2002). A numerical simulation of flow in a two-dimensional end-to-side anastomosis model. Journal of Biomechanical Engineering, 115(1), 112-118. link ↗ | Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology. (1996). Heart rate variability: standards of measurement, physiological interpretation, and clinical use. Circulation, 93(5), 1043-1065. DOI ↗ |
| Εναλλακτικές ονομασίες | Cardiovascular CFD, Blood flow simulation, Hemodynamic simulation | HRV, RR interval analysis, Cardiac variability |
| Συναφείς | 3 | 3 |
| Σύνοψη≠ | Computational fluid dynamics (CFD) for hemodynamics solves the Navier-Stokes equations to simulate blood flow in realistic vascular geometries. Pioneered by researchers such as David Steinman, CFD hemodynamics reveals complex flow patterns, wall shear stress distributions, and hemodynamic factors implicated in atherosclerosis, aneurysm rupture, and device-induced thrombosis. | Heart rate variability (HRV) analysis quantifies the variation in time intervals between consecutive heartbeats as a window into autonomic nervous system function and cardiovascular health. Formalized by the European Society of Cardiology Task Force in 1996, HRV metrics are now standard in cardiology, physiology, and sports science for assessing stress, recovery, and disease risk. |
| ScholarGateΣύνολο δεδομένων ↗ |
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