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A Device Agnostic Approach to Predict Children's Activity from Consumer Wearable Accelerometer Data: A Proof-of-Concept Study.
Weaver RG, White J, Finnegan O, Nelakuditi S, Zhu X, Burkart S, Beets M, Brown T, Pate R, Welk GJ, DE Zambotti M, Ghosal R, Wang Y, Armstrong B, Adams EL, Reesor-Oyer L, Pfledderer CD, Bastyr M, VON Klinggraeff L, Parker H. Weaver RG, et al. Med Sci Sports Exerc. 2024 Feb 1;56(2):370-379. doi: 10.1249/MSS.0000000000003294. Epub 2023 Sep 12. Med Sci Sports Exerc. 2024. PMID: 37707503
Evaluation of a device-agnostic approach to predict sleep from raw accelerometry data collected by Apple Watch Series 7, Garmin Vivoactive 4, and ActiGraph GT9X Link in children with sleep disruptions.
Weaver RG, de Zambotti M, White J, Finnegan O, Nelakuditi S, Zhu X, Burkart S, Beets M, Brown D 3rd, Pate RR, Welk GJ, Ghosal R, Wang Y, Armstrong B, Adams EL, Reesor-Oyer L, Pfledderer C, Dugger R, Bastyr M, von Klinggraeff L, Parker H. Weaver RG, et al. Sleep Health. 2023 Aug;9(4):417-429. doi: 10.1016/j.sleh.2023.04.005. Epub 2023 Jun 28. Sleep Health. 2023. PMID: 37391280