Analysis of Nonstationary Time Series for Biological Rhythms Research
Analysis of Nonstationary Time Series for Biological Rhythms Research
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DOI：
10.1177/0748730417709105
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发表时间：
2017-06-01
影响因子：
3.5
通讯作者：
Leise, Tanya L.
中科院分区：
文献类型：
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作者：
Leise, Tanya L.
这篇文章是《生物节律杂志》系列的一部分，探讨了与生物节律和睡眠研究人员相关的分析和统计主题。目的是概述在分析和解释这些领域的数据时出现的最常见问题。在这篇关于生物节律的时间序列分析的文章中，我们描述了一些评估时间序列节奏特性的方法，包括时间序列是否确实有节奏的测试。由于生物节律在其周期、相位和幅度上可以表现出显著的波动，因此它们的分析可能需要适合于非平稳时间序列的方法，例如小波变换，它可以测量这些节律参数如何随时间变化。我们用模拟和实时时间序列来说明这些方法。
This article is part of a Journal of Biological Rhythms series exploring analysis and statistics topics relevant to researchers in biological rhythms and sleep research. The goal is to provide an overview of the most common issues that arise in the analysis and interpretation of data in these fields. In this article on time series analysis for biological rhythms, we describe some methods for assessing the rhythmic properties of time series, including tests of whether a time series is indeed rhythmic. Because biological rhythms can exhibit significant fluctuations in their period, phase, and amplitude, their analysis may require methods appropriate for nonstationary time series, such as wavelet transforms, which can measure how these rhythmic parameters change over time. We illustrate these methods using simulated and real time series.