Measures of fragmentation of rest activity patterns: mathematical properties and interpretability based on accelerometer real life data
Ian Meneghel Danilevicz,
Vincent Theodoor van Hees,
Frank van der Heide
et al.
Abstract:Accelerometers, devices that measure body movements, have become valuable tools for studying the fragmentation of rest-activity patterns, a core circadian rhythm dimension, using metrics such as inter-daily stability (IS), intradaily variability (IV), transition probability (TP), and self-similarity parameter (named α). However, their use remains mainly empirical. Therefore, we investigated the mathematical properties and interpretability of rest-activity fragmentation metrics by providing mathematical proofs … Show more
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