Physiology, Otto Loewi Research Center for Vascular Biology, Immunology and Inflammation, Medical University of Graz, Neue Stiftingtalstr. 6/D05, A-8010 Graz, Austria. Department of Physics and Astronomy, University of Potsdam, Karl-Liebknecht-Str. 24/25, D-14476 Potsdam-Golm, Germany.
Physiol Meas. 2018 May 16;39(5):054002. doi: 10.1088/1361-6579/aabea4.
Several different measures of heart rate variability, and particularly of respiratory sinus arrhythmia, are widely used in research and clinical applications. For many purposes it is important to know which features of heart rate variability are directly related to respiration and which are caused by other aspects of cardiac dynamics.
Inspired by ideas from the theory of coupled oscillators, we use simultaneous measurements of respiratory and cardiac activity to perform a nonlinear disentanglement of the heart rate variability into the respiratory-related component and the rest.
The theoretical consideration is illustrated by the analysis of 25 data sets from healthy subjects. In all cases we show how the disentanglement is manifested in the different measures of heart rate variability.
The suggested technique can be exploited as a universal preprocessing tool, both for the analysis of respiratory influence on the heart rate and in cases when effects of other factors on the heart rate variability are in focus.
多种不同的心率变异性测量方法，特别是呼吸窦性心律失常，广泛应用于研究和临床应用中。对于许多目的而言，了解心率变异性中哪些特征直接与呼吸有关，哪些是由心脏动力学的其他方面引起的是很重要的。
受耦合振荡器理论的启发，我们使用呼吸和心脏活动的同时测量来对心率变异性进行非线性解缠，将其分为与呼吸相关的部分和其他部分。
通过对 25 组健康受试者的数据进行分析，对理论进行了说明。在所有情况下，我们都展示了这种解缠在心率变异性的不同测量中的表现。
所提出的技术可以作为一种通用的预处理工具加以利用，既可以用于分析呼吸对心率的影响，也可以用于关注其他因素对心率变异性的影响的情况。
