Accuracy of stroke volume estimation via reservoir pressure concept and three element windkessel model

Shun Kamoi, Dougie Squire, James Revie, Christopher Pretty, Paul Docherty, Yeong Shiong Chiew, Thomas Desaive, Geoffrey M. Shaw, J. Geoffrey Chase

Research output: Chapter in Book/Report/Conference proceedingConference PaperOther

2 Citations (Scopus)

Abstract

Accurate stroke volume (SV) measurements can convey large amounts of information about patient hemodynamic status. However, direct measurements are too invasive in clinical practice and current procedures for estimating SV require specialised devices. This study presents an analysis of the accuracy of SV estimation by combining pulse-wave and windkessel analyses. What makes this study different to existing pulse-contour analyses is that pressure contour variation due to altered arterial mechanical properties (resistance, characteristic impedance and compliance) were related to correct corresponding pressure zones, enabling this model to more accurately capture SV from aortic pressure measurements alone. Using data from three porcine experiments, the median difference between measured and estimated SV was 1.4 ml with a 90% range (5th-95th percentile) -11.3ml - 12.2ml. This result relies on an estimate of the average value of just one windkessel parameter. The presented method demonstrates that SV can be estimated from pressure waveforms alone, without the need for identification of complex physiological metrics where strength of correlations may vary from patient to patient.

Original languageEnglish
Title of host publication19th IFAC World Congress IFAC 2014, Proceedings
EditorsEdward Boje, Xiaohua Xia
PublisherElsevier - International Federation of Automatic Control (IFAC)
Pages5647-5652
Number of pages6
ISBN (Electronic)9783902823625
DOIs
Publication statusPublished - 2014
Externally publishedYes
EventInternational Federation of Automatic Control World Congress 2014 - Cape Town International Convention Centre, Cape Town, South Africa
Duration: 24 Aug 201429 Aug 2014
Conference number: 19th
http://www.ifac2014.org/

Publication series

NameIFAC Proceedings Volumes (IFAC-PapersOnline)
Volume19
ISSN (Print)1474-6670

Conference

ConferenceInternational Federation of Automatic Control World Congress 2014
Abbreviated titleIFAC 2014
CountrySouth Africa
CityCape Town
Period24/08/1429/08/14
Internet address

Keywords

  • Biomedical systems
  • Cardiovascular systems
  • Parameter ID
  • Physiological models

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