• DocumentCode
    541565
  • Title

    Detection of systole and diastole start in cardiac output and arterial pressure recordings

  • Author

    Schmidt, M.L. ; Johannesen, L. ; Sorensen, J.S. ; Lundhus, K. ; Schmidt, S.E. ; Staalsen, N.-H.

  • Author_Institution
    Dept. of Health Sci. & Technol., Aalborg Univ., Aalborg, Denmark
  • fYear
    2010
  • fDate
    26-29 Sept. 2010
  • Firstpage
    381
  • Lastpage
    384
  • Abstract
    In coronary artery bypass graft patency research, the quality of the graft is often quantified by the mean graft flow, pulsatility index (PI) and diastolic filling (DF). Calculation of PI and DF requires segmentation of the heart cycle into systolic and diastolic intervals. In this paper we present two methods to identify systolic and diastolic intervals from arterial pressure and cardiac output (pulmonary flow) signals. The methods were evaluated by comparing the start of the systole and diastole in measurements from 6 pigs undergoing bypass surgery. Furthermore, we compared DF and PI calculated using the timings from the two different signals. We obtained a mean difference between systole start of -2.76ms (± 18.26ms) and 59.59ms (± 81.17ms) for diastole start. Finally, we obtained a correlation of 95.96% for PI and 60.30% for DF. The use of more than one recording type can be used to ensure more stable results when performing coronary graft patency quality assessments.
  • Keywords
    blood flow measurement; blood pressure measurement; blood vessels; surgery; arterial pressure recording; bypass surgery; cardiac output recording; coronary artery bypass graft patency; coronary graft patency quality assessment; diastole start detection; diastolic filling; graft quality; mean graft flow; pig model; pulmonary flow signals; pulsatility index; systole start detection; Blood pressure; Cardiology; Correlation; Indexes; Pressure measurement; Surgery; Timing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing in Cardiology, 2010
  • Conference_Location
    Belfast
  • ISSN
    0276-6547
  • Print_ISBN
    978-1-4244-7318-2
  • Type

    conf

  • Filename
    5737989