估计不确定性、尺度和间歇性之前的平滑：应用于短心率信号
Smoothing Before Estimating Uncertainty, Scaling, and Intermittency: Application to Short Heart Rate Signals
摘要：
时间序列的三个方面是不确定性（在给定的时间尺度上的分散性）、缩放（时间尺度依赖性）和不确定性（改变动态的倾向）。离散度的简单度量是平均绝对偏差和标准差;标度指数描述离散度如何随时间尺度变化。间歇性被定义为两个标度指数之间的差异。在取移动平均值后，这些测量给出了描述性信息，即使是短心率记录。对于此数据，分散性和不稳定性比标度指数表现得更好。
英文摘要：
Three aspects of time series are uncertainty (dispersion at a given time scale), scaling (time-scale dependence), and intermittency (inclination to change dynamics). Simple measures of dispersion are the mean absolute deviation and the standard deviation; scaling exponents describe how dispersions change with the time scale. Intermittency has been defined as a difference between two scaling exponents. After taking a moving average, these measures give descriptive information, even for short heart rate records. For this data, dispersion and intermittency perform better than scaling exponents.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
