The Lomb-Scargle periodogram in biological rhythm research: Analysis of incomplete and unequally spaced time-series
The Lomb-Scargle periodogram in biological rhythm research: Analysis of incomplete and unequally spaced time-series
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DOI：
10.1076/brhm.30.2.178.1422
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发表时间：
1999-04-01
影响因子：
1.1
通讯作者：
Ruf, T
中科院分区：
文献类型：
--
作者：
Ruf, T
本文研究了Lomb-Scargl型周期图在生物节律分析中的应用。这种方法特别适合于检测非均匀采样时间序列中的周期分量和具有缺失值的数据集，但将所有计算限制为实际测量值。在均匀和非均匀抽样的真实和模拟时间序列上对Lomb-Scarger方法进行了检验，并与生物医学节律研究中的标准方法卡方周期图进行了比较。结果表明，在噪声存在的情况下，Lomb-Scarger算法表现出了明显更好的检测效率和准确性，并避免了用内插技术替换缺失数据可能导致的偏差或错误结果。因此，Lomb-Scarger周期图可以作为一种有用的方法来研究生物节律，特别是当应用于从Kee活动物获得的遥测或观测时间序列时，即众所周知缺乏点的数据集。
This paper investigates the utility of the Lomb-Scargle periodogram for the analysis of biological rhythms. This method is particularly suited to detect periodic components in unequally sampled time-series and data sets with missing values, but restricts all calculations to actually measured values. The Lomb-Scargle method was tested on both real and simulated time-series with even and uneven sampling, and compared to a standard method in biomedical rhythm research, the Chi-square periodogram. Results indicate that the Lomb-Scargle algorithm shows a clearly better detection efficiency and accuracy in the presence of noise, and avoids possible bias or erroneous results that may arise from replacement of missing data by interpolation techniques. Hence, the Lomb-Scargle periodogram may serve as a useful method for the study of biological rhythms, especially when applied to telemetrical or observational time-series obtained from kee-living animals, i.e., data sets that notoriously lack points.