Impact of sampling frequency on period estimates (data sets with walking noise).

Data sets with different time intervals and selected durations were analysed using all the methods and the mean period value is reported in the table (standard deviations are omitted for clarity). Data sets were created by adding walking noise of 80% of the original signal amplitude to the templates of different duration and time interval between points. The underlying period was 24.08 h for asym data and 24.00 h for the other signals. 1) The base shape of the signal: cosine (cos), pulse (pul); double pulse (dpl); shoulder (shl) and moderate asymmetry (asym), (all) represents aggregated results from all the sets. 2) the time interval (sampling frequency) in the data set and in brackets the data duration. See SI Table S5 for the full table.本研究针对不同时间间隔与预设时长的数据集，采用全部方法开展分析，表格中报告了平均周期值（为清晰展示，省略了标准差）。数据集的构建方式为：向不同时长、点间时间间隔的模板信号中，加入幅值为原始信号80%的随机游走噪声。非对称（asym）数据集的固有周期为24.08 h，其余信号的固有周期为24.00 h。1) 信号基础形态：余弦（cosine, cos）、脉冲（pulse, pul）、双脉冲（double pulse, dpl）、肩形（shoulder, shl）以及中度非对称（moderate asymmetry, asym）；其中(all)代表全部数据集的聚合分析结果。2) 数据集中的时间间隔（即采样频率），括号内标注数据集总时长。完整表格详见SI表S5。