Impact of sampling frequency on on absolute error (data sets with walking noise).

Data sets with different time interval and selected durations were analysed using all the methods and the average absolute error is reported in the table, the absolute error is defined as the absolute value of the difference between calculated period and the expected value (24.08 for asym signal and 24 h for the others). 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. 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 in days. See SI Table S6 for the full table.