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Optimization of a generalized radial-aortic transfer function using parametric techniques.

Cagla Akalanli1, David Tay1, James D Cameron2

  • 1Department of Engineering, La Trobe University, Victoria 3086, Australia.

Computers in Biology and Medicine
|September 4, 2016
PubMed
Summary
This summary is machine-generated.

Noninvasive central aortic blood pressure (cBP) estimation using transfer function (TF) models shows promise for cardiovascular assessment. However, the estimated augmentation index (AI) requires cautious clinical interpretation due to weak correlation with invasive measurements.

Keywords:
Central aortic blood pressure (cBP)Noninvasive measurementTransfer function (TF)

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Area of Science:

  • Cardiovascular Physiology
  • Biomedical Engineering
  • Medical Signal Processing

Background:

  • Central aortic blood pressure (cBP) is crucial for cardiovascular assessment but typically requires invasive measurement.
  • Noninvasive methods, particularly transfer function (TF) techniques applied to radial blood pressure (BP) waveforms, are increasingly used to estimate cBP.
  • Challenges remain in accurately deriving cBP noninvasively.

Purpose of the Study:

  • To develop a general parametric model for determining cBP from noninvasively measured radial BP waveforms.
  • To validate the model's ability to estimate key features of the cBP waveform.
  • To assess the accuracy of noninvasively derived cardiovascular parameters.

Main Methods:

  • Utilized simultaneously measured invasive central aortic and noninvasive radial BP waveforms from 92 subjects.
  • Employed transfer function (TF) techniques and identified an output error (OE) model as the most appropriate structure.
  • Developed a generalized parametric model using a derivation cohort and validated it on a separate dataset.

Main Results:

  • The developed model successfully estimated many relevant BP parameters within acceptable limits.
  • The estimated augmentation index (AI) showed only a weak correlation with invasively measured AI.
  • The output error (OE) model proved to be a suitable structure for this application.

Conclusions:

  • Noninvasive estimation of cBP from radial waveforms using TF techniques is feasible for several cardiovascular parameters.
  • Clinical interpretation of the estimated augmentation index (AI) derived from this method should be approached with caution.
  • Further refinement of models may be necessary to improve the accuracy of specific cBP waveform features.