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

机译:三维分割庞加勒剧情分析 - 一种新的心血管和心肺监管分析方法

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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.
机译:高血压妊娠疾病影响所有妊娠的6%至8%,这可能会导致母亲和胎儿的严重并发症。本研究的目的是开发一种适用于三维耦合分析的新方法。因此,引入了三维分段的Poincaré绘图分析(SPPA3),其代表基于立方盒模型表示的Poincare分析。代表三维相位空间的盒子(基于SPPA方法)根据预定的信号范围和所有单个概率分成12×12×12相等的立方,以及与总点总数相关的特定Cubelet中的所有单一概率计算。来自10名健康的非孕妇,66名健康孕妇和56名高血压孕妇患有慢性高血压,妊娠期血液压力(BBI),非侵略性血压和呼吸(REAL)连续30分钟记录和分析。分析了不同信号之间的耦合。可以通过多元判别分析来确认SPA3对筛选的能力,各种孕妇和预先普拉姆斯(指数BBI3_SBP9_RESP6 / BBI8_SBP11_RESP4导致AUC = 91.2%的ROC曲线下的区域)。总之,SPPA3可以是增强孕妇风险分层的有用方法。

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