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A Novel Method for Cardiac Output and Vascular Parameters Estimation Using Peripheral Arterial Waveforms: Integrating

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Summary

This study introduces a new method using alpha-parameters to estimate cardiac output (CO) and vascular parameters from arterial pressure. The model is physiologically interpretable, calibration-free, and accurate for critical care monitoring.

Keywords:
Cardiac output estimationGeneralized Linear ModelingPeripheral arterial pressureStructural identifiabilityVascular parameter inferenceWindkessel model

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Area of Science:

  • Cardiovascular Physiology
  • Biomedical Engineering
  • Medical Device Technology

Background:

  • Conventional cardiac output (CO) estimation methods often lack physiological interpretability and generalizability due to reliance on calibration or black-box models.
  • Accurate and interpretable CO monitoring is crucial for effective perioperative and critical care management.

Purpose of the Study:

  • To develop and validate a structurally identifiable model for simultaneous estimation of CO and vascular parameters from peripheral arterial pressure waveforms.
  • To provide a physiologically interpretable, data-efficient, and calibration-free alternative to existing CO estimation techniques.

Main Methods:

  • A four-element Windkessel model was reformulated using alpha-parameters (αC, αR, αL, ατ) to represent arterial properties.
  • Peripheral arterial pressure waveforms were processed and fitted to the model to extract alpha-parameters, which then informed a generalized linear model for CO estimation.
  • Estimated CO was used to derive arterial compliance (C), characteristic impedance (Rz), distal resistance (Rdis), and inertance (L).

Main Results:

  • Internal validation demonstrated R²=0.82 and percentage error (PE)=26.17%, meeting clinical interchangeability criteria (PE < 30%).
  • External validation on an independent dataset yielded R²=0.72 and PE=28.41% without retraining, confirming model robustness.
  • The model successfully estimated CO and key vascular parameters (C, Rz, Rdis, L) with high accuracy and consistency.

Conclusions:

  • The alpha-parameterized Windkessel framework offers a physiologically grounded, calibration-free approach for CO estimation.
  • This method simultaneously quantifies multiple hemodynamic parameters, providing a comprehensive profile from a single arterial pressure signal.
  • The framework is suitable for real-time integration into critical care monitoring systems, enhancing patient management.