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Nonlinear Analysis of Physiological Time Series
作者姓名:MENG  Qing-fang  PENG  Yu-hua  XUE  Yu-li  HAN  Min
作者单位:[1]School of Information Science and Engineering, Shandong University, Jinan 250100, China [2]Shandong Youth Administrative Cadres College, Jinan 250103, China
基金项目:国家教育部海外归国学者科研基金;山东省自然科学基金
摘    要:

关 键 词:生理学  时间序列  非线性检测  条件信息熵
文章编号:1004-0552(2007)04-0163-07
收稿时间:2007-07-27
修稿时间:2007-11-29

Nonlinear Analysis of Physiological Time Series
MENG Qing-fang PENG Yu-hua XUE Yu-li HAN Min.Nonlinear Analysis of Physiological Time Series[J].Chinese Journal of Biomedical Engineering,2007,16(4):163-169.
Authors:MENG Qing-fang  PENG Yu-hua  XUE Yu-li  HAN Min
Abstract:The heart rate variability could be explained by a low-dimensional governing mechanism. There has been increasing interest in verifying and understanding the coupling between the respiration and the heart rate. In this paper we use the nonlinear detection method to detect the nonlinear deterministic component in the physiological time series by a single variable series and two variables series respectively, and use the conditional information entropy to analyze the correlation between the heart rate, the respiration and the blood oxygen concentration. The conclusions are that there is the nonlinear deterministic component in the heart rate data and respiration data, and the heart rate and the respiration are two variables originating from the same underlying dynamics.
Keywords:Nonlinear time series analysis  nonlinear detection  conditional information entropy  heart rate variability
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