首页> 外文会议>Engineering in Medicine and Biology Society, 2001. Proceedings of the 23rd Annual International Conference of the IEEE >Joint symbolic dynamics analysis of heart rate and systolic blood pressure interactions in dilated cardiomyopathy
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Joint symbolic dynamics analysis of heart rate and systolic blood pressure interactions in dilated cardiomyopathy

机译:扩张型心肌病的心率与收缩压相互作用的联合符号动力学分析

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The dilated cardiomyopathy (DCM) induces important changes in the autonomic control. Measures of heart rate (HR) variability and systolic blood pressure (SP) variability are sensitive to those changes. The interactions between HR and SP are rather complex and strongly non-linear. We introduced the joint symbolic dynamics (JSD) as a new short-term high resolution non-linear analysis method to investigate the complex interactions between HR and SP. Continuous non-invasive 30 minutes blood pressure recordings (Portapres) of 25 patients with DCM and 27 healthy controls (CON) were analyzed. HR and SP were extracted from the blood pressure time series on a beat-to-beat basis. Using the concept of JSD, HR and SP dynamics were transformed into a bivariate symbol vector. Subsequently, this symbol vector was transformed into a word series (words consisting of three successive symbols) and the probability of occurrence of each word type was calculated and compared between both groups. We found significant differences (partly p > 0.01) in six word types between DCM and CON. JSD provides an efficient non-linear presentation of HR and SP interactions that offer rather simple physiological interpretations and seems to be particularly suitable for risk stratification in patients with dilated cardiomyopathy.
机译:扩张型心肌病(DCM)引起自主神经控制的重要变化。心率(HR)变异性和收缩压(SP)变异性的量度对那些变化敏感。 HR和SP之间的交互非常复杂,并且非常非线性。我们引入了联合符号动力学(JSD)作为一种新的短期高分辨率非线性分析方法,以研究HR和SP之间的复杂相互作用。分析了25例DCM患者和27例健康对照(CON)的连续30分钟无创血压记录(Portapres)。从血压时间序列中逐跳提取HR和SP。使用JSD的概念,将HR和SP动态转换为双变量符号向量。随后,将此符号向量转换为一个单词系列(由三个连续符号组成的单词),并计算每种单词类型的出现概率,并在两组之间进行比较。我们发现DCM和CON之间的六个单词类型存在显着差异(部分p> 0.01)。 JSD提供了HR和SP相互作用的有效非线性表示,提供了相当简单的生理学解释,似乎特别适合于扩张型心肌病患者的风险分层。

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