• DocumentCode
    1823595
  • Title

    Continuous Ejection Fraction Estimation by Model-Based Analysis of an Aortic Pressure Waveform: Comparison to Echocardiography

  • Author

    Swamy, G. ; Olivier, Bistorin ; Kuiper, J. ; Mukkamala, R.

  • Author_Institution
    Michigan State Univ., East Lansing
  • fYear
    2007
  • fDate
    22-26 Aug. 2007
  • Firstpage
    963
  • Lastpage
    966
  • Abstract
    Left ventricular ejection fraction (EF) is perhaps the most clinically significant index of global ventricular function. EF is measured in clinical practice using imaging methods such as non-invasive echocardiography. However, imaging methods generally require a skilled operator and expensive equipment. Thus, EF is not sufficiently monitored. To this end, we have recently developed a novel technique to continuously (i.e., automatically) estimate EF by model-based analysis of an aortic pressure waveform. Here, we review the technique and present its evaluation with respect to reference echocardiography measurements from three dogs during diverse interventions. We report an overall EF error of only 8.3%. With further successful testing, the technique may ultimately be utilized for continuous EF monitoring in research and clinical settings in which an aortic catheter is employed.
  • Keywords
    biomedical measurement; echocardiography; haemodynamics; aortic pressure waveform; echocardiography; ejection fraction estimation; Biomedical monitoring; Blood pressure; Catheters; Coronary arteriosclerosis; Dogs; Echocardiography; Image analysis; Jacobian matrices; Magnetic resonance imaging; Volume measurement; Animals; Aorta; Blood Pressure; Blood Pressure Determination; Computer Simulation; Diagnosis, Computer-Assisted; Dogs; Echocardiography; Models, Cardiovascular; Reproducibility of Results; Sensitivity and Specificity; Stroke Volume;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE
  • Conference_Location
    Lyon
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-0787-3
  • Type

    conf

  • DOI
    10.1109/IEMBS.2007.4352452
  • Filename
    4352452