Feasibility of predicting next-day fatigue levels using heart rate variability and activity-sleep metrics in people with post-COVID fatigue

BackgroundPost-COVID fatigue (pCF) represents a significant burden for many individuals following SARS-CoV-2 infection. The unpredictable nature of fatigue fluctuations impairs daily functioning and quality of life, creating challenges for effective symptom management.ObjectiveThis study investigate...

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Bibliografiset tiedot

Päätekijät:	Nana Yaw Aboagye, Maria Germann, Kenneth F. Baker, Mark R. Baker, Silvia Del Din
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	Frontiers Media S.A. 2025-11-01
Sarja:	Frontiers in Digital Health
Aiheet:	post-COVID syndrome fatigue prediction machine learning heart rate variability accelerometry wearable technology
Linkit:	https://www.frontiersin.org/articles/10.3389/fdgth.2025.1689846/full
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