• DocumentCode
    141188
  • Title

    Three-dimensional segmented poincare plot analysis — A new approach of cardiovascular and cardiorespiratory regulation analysis

  • Author

    Fischer, Claudia ; Voss, Andreas

  • Author_Institution
    Dept. of Med. Eng. & Biotechnol., Univ. of Appl. Sci., Jena, Germany
  • fYear
    2014
  • fDate
    26-30 Aug. 2014
  • Firstpage
    6012
  • Lastpage
    6015
  • Abstract
    Hypertensive pregnancy disorders affect 6 to 8 percent of all pregnancies which can cause severe complications for the mother and the fetus. The aim of this study was to develop a new method suitable for a three dimensional coupling analysis. Therefore, the three-dimensional segmented Poincaré plot analysis (SPPA3) is introduced that represents the Poincare analysis based on a cubic box model representation. The box representing the three dimensional phase space is (based on the SPPA method) subdivided into 12×12×12 equal cubelets according to the predefined range of signals and all single probabilities of occurring points in a specific cubelet related to the total number of points are calculated. From 10 healthy non-pregnant women, 66 healthy pregnant women and 56 hypertensive pregnant women suffering from chronic hypertension, gestational hypertension and preeclampsia, 30 minutes of beat-to-beat intervals (BBI), noninvasive blood pressure and respiration (RESP) were continuously recorded and analyzed. Couplings between the different signals were analyzed. The ability of SPPA3 for a screening could be confirmed by multivariate discriminant analysis differentiating between all pregnant woman and preeclampsia (index BBI3_SBP9_RESP6/ BBI8_SBP11_RESP4 leads to an area under the ROC curve of AUC=91.2%). In conclusion, SPPA3 could be a useful method for enhanced risk stratification in pregnant women.
  • Keywords
    blood pressure measurement; cardiovascular system; medical disorders; medical signal processing; obstetrics; pneumodynamics; sensitivity analysis; BBI; ROC curve; beat-to-beat intervals; cardiorespiratory regulation analysis; cardiovascular regulation analysis; chronic hypertension; cubic box model representation; dimensional coupling analysis; fetus; gestational hypertension; hypertensive pregnancy disorders; hypertensive pregnant women; multivariate discriminant analysis; noninvasive blood pressure; nonpregnant women; preeclampsia; respiration; risk stratification; three-dimensional phase space; three-dimensional segmented Poincare plot analysis; Biomedical monitoring; Blood pressure; Couplings; Hypertension; Indexes; Pregnancy; Time series analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE
  • Conference_Location
    Chicago, IL
  • ISSN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/EMBC.2014.6944999
  • Filename
    6944999