• DocumentCode
    3749044
  • Title

    Assessment of joint interactions between respiration and baroreflex activity using joint symbolic dynamics in heart failure patients

  • Author

    Muammar M Kabir;Elyar Ghafoori;Larisa G Tereshchenko

  • Author_Institution
    Oregon Health and Science University, Knight Cardiovascular Institute, Portland, USA
  • fYear
    2015
  • Firstpage
    809
  • Lastpage
    812
  • Abstract
    In this paper we employed a novel approach based on joint symbolic dynamics (JSD) to study interaction between respiratory phase and baroreflex activity. Electrocardiogram (ECG) and blood pressure recordings from six participants with history of heart failure were included in this study. First, the ECG R-peaks and systolic blood pressure indices were detected using parabolic fitting. Second, the respiratory signal was derived from Frank orthogonal ECG leads using QRS slopes and R-wave angles. Third, time series of R-R intervals and systolic blood pressure (SBP) were extracted, and respiratory phases were obtained using the Hilbert transform. Subsequently, each series was transformed into binary symbol vectors based on their successive changes and words of length `2´ were formed. Baroreflex patterns were studied using word combinations representing baroreflex activity for specific changes in respiratory phases. Baroreflex activity was significantly higher for alternating low-high/high-low heart rate and SBP during inspiration as compared to continuous increase or decrease in heart rate and SBP (wiSBP=10,w1HR=01,wRP=11: 39.1±9.3% vs. wiSBP=00,w1HR=11,wRP=11: 6.4±3.9%, p<;0.0001).
  • Keywords
    "Heart rate","Electrocardiography","MATLAB","Biomedical measurement"
  • Publisher
    ieee
  • Conference_Titel
    Computing in Cardiology Conference (CinC), 2015
  • ISSN
    2325-8861
  • Print_ISBN
    978-1-5090-0685-4
  • Electronic_ISBN
    2325-887X
  • Type

    conf

  • DOI
    10.1109/CIC.2015.7411034
  • Filename
    7411034