Applications of Fractal and non-linear time series analysis to the study of short-term cardiovascular control
Applications of Fractal and non-linear time series analysis to the study of short-term cardiovascular control
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DOI：
10.2174/1570161043476401
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发表时间：
2004-01-01
影响因子：
4.5
通讯作者：
Pereda, Ernesto
中科院分区：
文献类型：
--
作者：
Gonzalez, Julian J.;Pereda, Ernesto
从心率、呼吸和血压节拍变异性信号的分析入手，对短期心血管控制系统进行了综述。重点介绍了应用于心血管系统的分形和非线性技术的现状，以及这两种方法之间的差异。我们给出了从统计学上获得的哺乳动物的结果，如分形指数、关联维度或最大Lyapunov指数，并讨论了这些指数用于表征信号中存在的不规则性的方便性。最后，讨论了参与心血管控制的系统之间的相互依赖关系。讨论了心脏、呼吸和血管信号之间相互依赖指数的最新结果，强调了它们在生理学研究和临床应用中的方便性。
The short-term cardiovascular control system is reviewed from the analysis of the heart rate, respiration and blood pressure beat-to-beat variability signals. The present state of the art concerning fractal and non-linear techniques as applied to the cardiovascular system and the differences between both approaches are highlighted. We present results obtained in mammals from statistics, such as the fractal exponent, the correlation dimension or the maximal Lyapunov exponent and discuss the convenience of these indexes for characterizing the irregularity present in the signals. Finally, the interdependence between the systems involved in the cardiovascular control is addressed. Recent results obtained from interdependence indexes between the cardio, respiratory and vascular signals are discussed and their convenience in physiological studies and clinical applications are stressed.