Literature DB >> 19308732

Continuous left ventricular ejection fraction monitoring by aortic pressure waveform analysis.

Gokul Swamy1, Jacob Kuiper, Madhu S R Gudur, N Bari Olivier, Ramakrishna Mukkamala.   

Abstract

We developed a technique to monitor left ventricular ejection fraction (EF) by model-based analysis of the aortic pressure waveform. First, the aortic pressure waveform is represented with a lumped parameter circulatory model. Then, the model is fitted to each beat of the waveform to estimate its lumped parameters to within a constant scale factor equal to the arterial compliance (C (a)). Finally, the proportional parameter estimates are utilized to compute beat-to-beat absolute EF by cancelation of the C (a) scale factor. In this way, in contrast to conventional imaging, EF may be continuously monitored without any ventricular geometry assumptions. Moreover, with the proportional parameter estimates, relative changes in beat-to-beat left ventricular end-diastolic volume (EDV), cardiac output (CO), and maximum left ventricular elastance (E (max)) may also be monitored. To evaluate the technique, we measured aortic pressure waveforms, reference EF and EDV via standard echocardiography, and other cardiovascular variables from six dogs during various pharmacological influences and total intravascular volume changes. Our results showed overall EF and calibrated EDV root-mean-squared-errors of 5.6% and 4.1 mL, and reliable estimation of relative E (max) and beat-to-beat CO changes. These results demonstrate, perhaps for the first time, the feasibility of estimating EF from only a blood pressure waveform.

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Year:  2009        PMID: 19308732     DOI: 10.1007/s10439-009-9675-4

Source DB:  PubMed          Journal:  Ann Biomed Eng        ISSN: 0090-6964            Impact factor:   3.934


  7 in total

1.  Parallel particle filters for online identification of mechanistic mathematical models of physiology from monitoring data: performance and real-time scalability in simulation scenarios.

Authors:  Sven Zenker
Journal:  J Clin Monit Comput       Date:  2010-07-31       Impact factor: 2.502

Review 2.  Continuous and less invasive central hemodynamic monitoring by blood pressure waveform analysis.

Authors:  Ramakrishna Mukkamala; Da Xu
Journal:  Am J Physiol Heart Circ Physiol       Date:  2010-07-09       Impact factor: 4.733

3.  Algorithmic processing of pressure waveforms to facilitate estimation of cardiac elastance.

Authors:  David Stevenson; James Revie; J Geoffrey Chase; Christopher E Hann; Geoffrey M Shaw; Bernard Lambermont; Alexandre Ghuysen; Philippe Kolh; Thomas Desaive
Journal:  Biomed Eng Online       Date:  2012-06-15       Impact factor: 2.819

4.  Emax monitoring by aortic pressure waveform analysis.

Authors:  Mingwu Gao; Mohsen Moslehpour; N Bari Olivier; Ramakrishna Mukkamala
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2014

5.  Beat-to-beat estimation of the continuous left and right cardiac elastance from metrics commonly available in clinical settings.

Authors:  David Stevenson; James Revie; J Geoffrey Chase; Christopher E Hann; Geoffrey M Shaw; Bernard Lambermont; Alexandre Ghuysen; Philippe Kolh; Thomas Desaive
Journal:  Biomed Eng Online       Date:  2012-09-21       Impact factor: 2.819

6.  Minimally invasive, patient specific, beat-by-beat estimation of left ventricular time varying elastance.

Authors:  Shaun Davidson; Chris Pretty; Antoine Pironet; Shun Kamoi; Joel Balmer; Thomas Desaive; J Geoffrey Chase
Journal:  Biomed Eng Online       Date:  2017-04-13       Impact factor: 2.819

Review 7.  Intrinsic Frequency Analysis and Fast Algorithms.

Authors:  Peyman Tavallali; Hana Koorehdavoudi; Joanna Krupa
Journal:  Sci Rep       Date:  2018-03-20       Impact factor: 4.379

  7 in total

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