• DocumentCode
    1823830
  • Title

    Towards Automating the Pulmonary Artery Catheter: a Canine Validation Study

  • Author

    Xu, D. ; Mukkamala, R. ; Olivier, N.B.

  • Author_Institution
    Michigan State Univ., East Lansing
  • fYear
    2007
  • fDate
    22-26 Aug. 2007
  • Firstpage
    994
  • Lastpage
    997
  • Abstract
    We have recently introduced a unique technique to automatically estimate both cardiac output (CO) and left atrial pressure (LAP) by pulmonary artery pressure (PAP) waveform analysis. In this contribution, we review the technique and present its evaluation with respect to gold standard, but highly invasive, reference aortic flow probe CO and direct LAP catheter measurements from two dogs during various pharmacological interventions. We report that the technique achieved an overall CO error of 15.3% and an overall LAP error of 17.1% over a wide hemodynamic range. For comparison, the overall LAP error of classic end-diastolic PAP estimates was about three times as large. With further successful testing, the technique may ultimately be employed so as to effectively automate the pulmonary artery catheter.
  • Keywords
    blood pressure measurement; cardiovascular system; catheters; lung; pneumodynamics; automation; canine validation; cardiac output; left atrial pressure; pulmonary artery catheter; reference aortic flow probe; Arteries; Catheters; Condition monitoring; Dogs; Fluid flow measurement; Gold; Hemodynamics; Measurement standards; Patient monitoring; Probes; Algorithms; Animals; Atrial Function; Blood Pressure; Blood Pressure Determination; Cardiac Output; Catheterization, Swan-Ganz; Computer Simulation; Diagnosis, Computer-Assisted; Dogs; Models, Cardiovascular; Pulmonary Artery; Reproducibility of Results; Rheology; Sensitivity and Specificity;
  • 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.2007.4352461
  • Filename
    4352461