Linguistic analysis of the human heartbeat using frequency and rank order statistics
Linguistic analysis of the human heartbeat using frequency and rank order statistics
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DOI：
10.1103/physrevlett.90.108103
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发表时间：
2003-03-14
影响因子：
8.6
通讯作者：
Peng, CK
中科院分区：
文献类型：
--
作者：
Yang, ACC;Hseu, SS;Peng, CK
复杂的生理信号可能携带与其潜在机制相关的独特的动态特征。我们提出了一种基于符号序列的秩序统计量的方法来研究不同类型的生理动力学的轮廓。我们将这种方法应用于心率波动，这是中央生理控制系统的输出。该方法有力地区分了健康和病理状态以及衰老产生的模式。此外，我们观察到心跳时间序列的随机性随着生理年龄和病理状态的增加而增加，并揭示了心脏对房颤的反应中的非随机模式。
Complex physiologic signals may carry unique dynamical signatures that are related to their underlying mechanisms. We present a method based on rank order statistics of symbolic sequences to investigate the profile of different types of physiologic dynamics. We apply this method to heart rate fluctuations, the output of a central physiologic control system. The method robustly discriminates patterns generated from healthy and pathologic states, as well as aging. Furthermore, we observe increased randomness in the heartbeat time series with physiologic aging and pathologic states and also uncover nonrandom patterns in the ventricular response to atrial fibrillation.