Statistical analysis of biological rhythm data.
Statistical analysis of biological rhythm data.
复制标题
生物节律数据的统计分析。
作者：
H. Dowse
作者开发了一套数字信号分析技术，适用于包含昼夜节律和超昼夜周期的生物时间序列，该技术具有非常高的分辨率，即使在极端噪声和趋势存在的情况下也能正常工作。包括一种量化节奏过程的重要性、强度和规律性的方法。为了说明这些技术，作者对包含不同数量的噪声、趋势和多个周期性的人工周期数据进行了分析。昼夜节律的周期和幅度以及超昼夜周期（如果包括）以及测试信号的所有其他组成部分都是准确已知的。分析以逐步的方式进行说明，并将结果与已知的输入参数进行比较。趋势被删除；生成并讨论了频谱、自相关函数和节律性指数。提供了涵盖所有分析的理论和细节的参考文献。所有使用的程序均可从作者处免费获得。
The author has developed an ensemble of digital signal analysis techniques applicable to biological time series containing circadian and ultradian periodicities that is of very high resolution and functions well even in the presence of extreme noise and trend. A method for quantifying the significance, strength, and regularity of the rhythmic process is included. To illustrate these techniques, the author presents analyses of artificial periodic data containing varying amounts of noise, trend, and multiple periodicities. The periods and amplitudes of circadian and, where included, ultradian periodicities, and all other components of the test signals are known exactly. Analyses are illustrated in a step-by-step manner and the results are compared with the known input parameters. Trends are removed; spectra, autocorrelation functions, and rhythmicity indices are produced and discussed. References covering theory and details of all analyses are supplied. All programs employed are available from the author free of charge.
影响因子：
1.9
作者：
Dowse, H;Ringo, J;White, L
通讯作者：
White, L