ScholarGate
アシスタント

手法を比較

選択した手法を並べて確認できます。異なる行はハイライト表示されます。

Windkesselモデル×CFD血行動態×心拍変動×
分野バイオメカニクスバイオメカニクスバイオメカニクス
系統Process / pipelineProcess / pipelineProcess / pipeline
提唱年196920021996
提唱者Nikolaos WesterhofDavid SteinmanTask Force of European Society of Cardiology
種類Physiological lumped-parameter modelingMulti-physics finite element simulationTime-series and frequency-domain analysis pipeline
原典Westerhof, N., Bosman, F., De Vries, N. C., & Noordergraaf, A. (1969). Analog studies of the human systemic arterial tree. Journal of Biomechanics, 2(2), 121-143. DOI ↗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 ↗
別名Elastic chamber model, Arterial compliance model, Lumped parameter modelCardiovascular CFD, Blood flow simulation, Hemodynamic simulationHRV, RR interval analysis, Cardiac variability
関連333
概要The Windkessel model is a lumped-parameter representation of the arterial system that captures the pulsatile dynamics of blood flow and pressure using simple mechanical analogs (resistors and capacitors). Named after the German word for air chamber, it was formalized by Westerhof and colleagues in the late 1960s and remains fundamental to understanding arterial hemodynamics and blood pressure regulation.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.
ScholarGateデータセット
  1. v1
  2. 2 出典
  3. PUBLISHED
  1. v1
  2. 2 出典
  3. PUBLISHED
  1. v1
  2. 2 出典
  3. PUBLISHED

検索へ スライドをダウンロード

ScholarGate手法を比較: Windkessel Model · CFD Hemodynamics · Heart Rate Variability. 2026-06-19に以下より取得 https://scholargate.app/ja/compare