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Related Concept Videos

Regulation of Stroke Volume01:27

Regulation of Stroke Volume

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The regulation of stroke volume, which is the amount of blood the heart pumps out during each heartbeat, is critical for maintaining a healthy circulatory system. Stroke volume is influenced by three main factors: preload, contractility, and afterload.
Preload refers to the degree of stretch on the heart before it contracts. It's analogous to the stretching of a rubber band; the more it's stretched, the more forcefully it snaps back. This concept is encapsulated in the Frank-Starling law of the...
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Cardiac Output and Stroke Volume01:11

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Cardiac output (CO) is an integral aspect of human physiology, reflecting the heart's efficiency and responsiveness to the body's needs. It represents the volume of blood that the left or right ventricle ejects into the aorta or pulmonary trunk each minute. The CO is calculated by multiplying the heart rate (HR)—the number of heartbeats per minute—by the stroke volume (SV)—the amount of blood pumped out with each heartbeat.
In an average resting adult male, the typical cardiac...
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Cardiac Output II: Effect of Stroke Volume on Cardiac Output01:22

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Cardiac output (CO), the amount of blood the heart pumps per minute, is a parameter in cardiovascular physiology determined by stroke volume and heart rate. Stroke volume, the amount of blood pushed from one of the ventricles per heartbeat, is influenced by preload, afterload, and contractility.
Preload
Preload refers to the initial elongation of the cardiac myocytes before contraction and is related to the volume of blood filling the heart at the end of diastole, or end-diastolic volume. The...
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Validation of a Non-invasive Inverse Problem-Solving Method for Stroke Volume.

Vasiliki Bikia1, Carmel M McEniery2, Emma Marie Roussel1

  • 1Laboratory of Hemodynamics and Cardiovascular Technology, Institute of Bioengineering, Swiss Federal Institute of Technology, Lausanne, Switzerland.

Frontiers in Physiology
|February 14, 2022
PubMed
Summary

A new mathematical method accurately estimates stroke volume (SV) non-invasively using brachial blood pressure and pulse wave velocity. This physics-based approach outperforms traditional regression for improved hemodynamic monitoring.

Keywords:
cardiac outputdata assimilationmathematical modelingnon-invasive monitoringvascular aging

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Area of Science:

  • Cardiovascular Physiology
  • Biomedical Engineering
  • Mathematical Modeling

Background:

  • Stroke volume (SV) is a critical indicator of cardiac function and ventricular-vascular coupling.
  • Current hemodynamic monitoring often relies on brachial blood pressure (BP), neglecting SV assessment.
  • Non-invasive estimation of SV is crucial for effective hemodynamic management.

Purpose of the Study:

  • To validate a novel inverse-problem solving method for non-invasively estimating SV.
  • To compare the performance of this method against traditional statistical approaches.
  • To assess the method's accuracy using magnetic resonance imaging (MRI) as a reference standard.

Main Methods:

  • Developed an inverse-problem solving method using a validated one-dimensional systemic circulation model.
  • Adjusted the model with age, weight, height, brachial BP, and carotid-femoral pulse wave velocity (cfPWV).
  • Validated the method against MRI-derived SV measurements in 144 healthy individuals (age 18-85).

Main Results:

  • The inverse method demonstrated high agreement with reference SV data (r = 0.83, P < 0.001).
  • This agreement surpassed that of traditional multilinear regression models (r = 0.74, P < 0.001).
  • The method showed consistent performance across various age groups.

Conclusions:

  • The inverse-problem solving method provides accurate, non-invasive SV estimation.
  • This physics-based modeling approach offers superior performance to traditional statistical methods.
  • The findings support the clinical utility of this method for enhanced hemodynamic monitoring.