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Long-range cross-correlation between heart rate and physical activity in daily life

机译:日常生活中心率与身体活动之间的长期互相关

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To characterize long-range cross-correlation in nonstationary bi-variate time series, we propose the higherorder detrending moving-average cross-correlation analysis (DMCA) in which the Savitzky-Golay (S-G) filters are employed as the detrending operator and show its methodological properties analytically. Using the higher-order DMCA, time series consisting of heart rate (HR) and physical activity measured in daily life were analyzed. Our analysis demonstrated that the daily physical activity shared a common long-range correlated factor with the $1/f$-type fluctuation of HR.
机译:为了表征非平稳双变量时间序列中的远程互相关,我们提出了一种高阶去趋势移动平均互相关分析(DMCA),其中将Savitzky-Golay(SG)滤波器用作去趋势算子并显示其分析的方法学特性。使用高阶DMCA,分析了日常生活中测得的由心率(HR)和身体活动组成的时间序列。我们的分析表明,日常体育锻炼与 $ 1 / f $ 型心率波动。

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