昼夜节律的多窗口光谱分析

A.L. Hurst, S. Reisman, W. Tapp
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引用次数: 1

摘要

作者采用一种新的多窗口光谱分析计算机算法来研究昼夜节律,该算法可以检测到普通光谱分析方法无法分辨的光谱峰。用新的光谱分析程序检查了两只猴子的温度数据,以研究昼夜节律及其谐波的存在,并检查了较长周期振荡的数据。使用每小时采样一次的33天记录。这两只猴子的数据显示,在24、12和8小时的周期内,光谱峰值分辨率很高,代表了基本的昼夜节律及其第二和第三次谐波。位于24、12和8 h的峰说明了新的光谱分析程序能够解析标准光谱分析方法已经解析的峰。在一只猴子身上发现的3.125天和9.375天的峰值证实了模拟模型的预测,即在某些情况下可能存在这些低频率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A multi-window spectral analysis of circadian rhythms
The authors investigate circadian rhythms by using a new multi-window spectral analysis computer algorithm which detects spectral peaks not resolvable by ordinary spectral analysis methods. Temperature data from two monkeys were examined with the new spectral analysis program to investigate the presence of circadian rhythms and their harmonics and to examine the data for longer period oscillations. Thirty-three day records sampled once per hour were used. Data from both monkeys show well resolved spectral peaks at periods of 24, 12, and 8 h which represents the basic circadian rhythm and its second and third harmonics. The peaks located at 24, 12, and 8 h illustrate the ability of the new spectral analysis program to resolve peaks already resolved by standard spectral analysis methods. Peaks found at 3.125 and 9.375 days in one monkey confirm the prediction of the simulation model that these low frequencies may exist in some cases.<>
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