ArticleScientific reports2024
Hierarchical organization of human physical activity.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Heart Rate Variability Alterations During Delayed-Onset Muscle Soreness-Inducing Exercise-With Piezo2 Interpretation.Sports (Basel, Switzerland) · 2025Article
- The two ends of the spectrum: comparing chronic schizophrenia and premorbid latent schizotypy by actigraphy.BMC psychiatry · 2025Article
- Performance evaluation of a machine learning-based methodology using dynamical features to detect nonwear intervals in actigraphy data in a free-living setting.Sleep health · 2025Article
- Prohibited Olympic Medalist with PIEZO1 VUS Who Claims Innocence.International journal of molecular sciences · 2024Article
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Authors and funding
8 authors.
Funding
Abstract
Human physical activity (HPA), a fundamental physiological signal characteristic of bodily motion is of rapidly growing interest in multidisciplinary research. Here we report the existence of hitherto unidentified hierarchical levels in the temporal organization of HPA on the ultradian scale: on the minute's scale, passive periods are followed by activity bursts of similar intensity ('quanta') that are organized into superstructures on the hours- and on the daily scale. The time course of HPA can be considered a stochastic, quasi-binary process, where quanta, assigned to task-oriented actions are organized into work packages on higher levels of hierarchy. In order to grasp the essence of this complex dynamic behaviour, we established a stochastic mathematical model which could reproduce the main statistical features of real activity time series. The results are expected to provide important data for developing novel behavioural models and advancing the diagnostics of neurological or psychiatric diseases.
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Registered trials
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