Nonlinear time series analysis of the human electrocardiogram
Nonlinear time series analysis of the human electrocardiogram
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DOI：
10.1088/0143-0807/26/5/008
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发表时间：
2005-09-01
影响因子：
0.7
通讯作者：
Perc, M
中科院分区：
文献类型：
--
作者：
Perc, M
我们分析了人体心电图与简单的非线性时间序列分析方法，适合研究生以及本科课程。特别是，注意力是专门用于生理数据的决定论和平稳性的概念。我们强调，非线性时间序列分析的方法可以成功地应用，只有当研究的数据集来源于一个确定性的平稳系统。积极建立存在的确定性和平稳性的研究心电图后，我们计算的最大李雅普诺夫指数，从而提供有趣的见解到人体心脏的动力学。此外，为了促进兴趣，并使非线性时间序列分析方法融入课程的早期阶段的教育过程中，我们还提供了用户友好的程序，为每一个实施的方法。
We analyse the human electrocardiogram with simple nonlinear time series analysis methods that are appropriate for graduate as well as undergraduate courses. In particular, attention is devoted to the notions of determinism and stationarity in physiological data. We emphasize that methods of nonlinear time series analysis can be successfully applied only if the studied data set originates from a deterministic stationary system. After positively establishing the presence of determinism and stationarity in the studied electrocardiogram, we calculate the maximal Lyapunov exponent, thus providing interesting insights into the dynamics of the human heart. Moreover, to facilitate interest and enable the integration of nonlinear time series analysis methods into the curriculum at an early stage of the educational process, we also provide user-friendly programs for each implemented method.