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Related Concept Videos

Typical Model Studies01:30

Typical Model Studies

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Fluid mechanics model studies often utilize scaled-down systems to predict fluid behavior in full-scale environments, such as river flows, dam spillways, and structures interacting with open surfaces. Maintaining Froude number similarity in river models is crucial, as it replicates surface flow features like wave patterns and velocities.
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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.
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Experimental Investigation of Secondary Flow Structures Downstream of a Model Type IV Stent Failure in a 180° Curved Artery Test Section
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Clinically applicable model-based method, for physiologically accurate flow waveform and stroke volume estimation.

Joel Balmer1, Christopher G Pretty1, Shaun Davidson1

  • 1Department of Mechanical Engineering, University of Canterbury, New Zealand.

Computer Methods and Programs in Biomedicine
|November 8, 2019
PubMed
Summary
This summary is machine-generated.

This study introduces a new, non-invasive method for continuous cardiovascular monitoring. The physiological model accurately estimates stroke volume (SV) and cardiac output (CO) without recalibration, improving patient care.

Keywords:
Cardiac outputEnd systole detectionHemodynamic monitoringIntensive carePressure contour analysisPulse contour analysisStroke volumeWindkessel model

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Area of Science:

  • Physiological modeling
  • Cardiovascular monitoring
  • Hemodynamic assessment

Background:

  • Accurate, continuous stroke volume (SV) and cardiac output (CO) are crucial for managing cardiovascular dysfunction.
  • Current direct SV/CO measurements are invasive, and continuous methods often require recalibration after hemodynamic instability.
  • A need exists for a non-additively invasive method for continuous SV/CO monitoring that avoids recalibration.

Purpose of the Study:

  • To present a clinically applicable, physiological model-based method for measuring SV and CO.
  • To demonstrate that this method does not require recalibration during or after hemodynamic instability.

Main Methods:

  • Development of a physiological model for SV and CO estimation.
  • Validation in an animal trial involving 5 pigs with induced sepsis.
  • Comparison of model-estimated SV and CO with measurements from an aortic flow probe.

Main Results:

  • The model demonstrated a mean percentage error of -2% for beat-to-beat SV estimation compared to an aortic flow probe.
  • 90% of SV estimations fell within -24.2% and +27.9% error.
  • High correlations (r² = 0.58-0.96) were observed between model-estimated and probe-measured flow, with 84% of stages exceeding r² > 0.80.

Conclusions:

  • The developed model accurately estimates and tracks changes in flow profiles and resulting SV.
  • The method successfully operates without requiring recalibration, offering a significant clinical advantage.