Fig 1.
Graphical overview of the complete methodological pipeline, including data collection, preprocessing and filtering steps, and the subsequent clustering analysis.
Table 1.
Empirical Summary of sleeping statistics recorded by devices.
Fig 2.
Discrepancy ranges per user (discrepancy = Start timeM – Start timeW).
Each row represents a user and each column a day. Color coding represents discrepancy ranges in start times taking into consideration the sign.
Table 2.
Median values for sleeping metrics in high discrepancy clustering. Interquartile range (Q3-Q1) is shown in parenthesis.
Fig 3.
Full-day schematic of high discrepancy clusters.
Fig 4.
Cluster-wise distribution of medium- and high-discrepancy days.
Bars show, for each of the twelve clusters, the number of days classified as high discrepancy (> 5 h or <−5 h difference between devices) and medium discrepancy (1.5–5 h or −1.5 to −5 h).