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Pubmed for Handhelds

PUBMED FOR HANDHELDS

Journal Abstract Search

264 related items for PubMed ID: 32252598

  • 1. Improving energy expenditure estimates from wearable devices: A machine learning approach.
    O'Driscoll R, Turicchi J, Hopkins M, Horgan GW, Finlayson G, Stubbs JR.
    J Sports Sci; 2020 Jul; 38(13):1496-1505. PubMed ID: 32252598
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  • 2. Comparison of the Validity and Generalizability of Machine Learning Algorithms for the Prediction of Energy Expenditure: Validation Study.
    O'Driscoll R, Turicchi J, Hopkins M, Duarte C, Horgan GW, Finlayson G, Stubbs RJ.
    JMIR Mhealth Uhealth; 2021 Aug 04; 9(8):e23938. PubMed ID: 34346890
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  • 4. How well do activity monitors estimate energy expenditure? A systematic review and meta-analysis of the validity of current technologies.
    O'Driscoll R, Turicchi J, Beaulieu K, Scott S, Matu J, Deighton K, Finlayson G, Stubbs J.
    Br J Sports Med; 2020 Mar 04; 54(6):332-340. PubMed ID: 30194221
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  • 5. Validity of the ActiGraph GT3X+ and BodyMedia SenseWear Armband to estimate energy expenditure during physical activity and sport.
    Gastin PB, Cayzer C, Dwyer D, Robertson S.
    J Sci Med Sport; 2018 Mar 04; 21(3):291-295. PubMed ID: 28797831
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  • 9. Validation of the Fitbit One, Garmin Vivofit and Jawbone UP activity tracker in estimation of energy expenditure during treadmill walking and running.
    Price K, Bird SR, Lythgo N, Raj IS, Wong JY, Lynch C.
    J Med Eng Technol; 2017 Apr 04; 41(3):208-215. PubMed ID: 27919170
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  • 10. Impact of EPOC adjustment on estimation of energy expenditure using activity monitors.
    Pribyslavska V, Caputo JL, Coons JM, Barry VW.
    J Med Eng Technol; 2018 May 04; 42(4):265-273. PubMed ID: 29911930
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  • 12. Comparing ActiGraph equations for estimating energy expenditure in older adults.
    Aguilar-Farias N, Peeters GMEEG, Brychta RJ, Chen KY, Brown WJ.
    J Sports Sci; 2019 Jan 04; 37(2):188-195. PubMed ID: 29912666
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  • 14. Relative validity of 3 accelerometer models for estimating energy expenditure during light activity.
    Wetten AA, Batterham M, Tan SY, Tapsell L.
    J Phys Act Health; 2014 Mar 04; 11(3):638-47. PubMed ID: 23417054
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  • 15. Validity of SenseWear® Armband v5.2 and v2.2 for estimating energy expenditure.
    Bhammar DM, Sawyer BJ, Tucker WJ, Lee JM, Gaesser GA.
    J Sports Sci; 2016 Oct 04; 34(19):1830-8. PubMed ID: 26854829
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  • 17. Estimating physical activity and sedentary behaviour in a free-living environment: A comparative study between Fitbit Charge 2 and Actigraph GT3X.
    Mikkelsen MK, Berg-Beckhoff G, Frederiksen P, Horgan G, O'Driscoll R, Palmeira AL, Scott SE, Stubbs J, Heitmann BL, Larsen SC.
    PLoS One; 2020 Oct 04; 15(6):e0234426. PubMed ID: 32525912
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  • 18. Accuracy of Consumer Wearable Heart Rate Measurement During an Ecologically Valid 24-Hour Period: Intraindividual Validation Study.
    Nelson BW, Allen NB.
    JMIR Mhealth Uhealth; 2019 Mar 11; 7(3):e10828. PubMed ID: 30855232
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  • 19. Validity of Wearable Activity Monitors during Cycling and Resistance Exercise.
    Boudreaux BD, Hebert EP, Hollander DB, Williams BM, Cormier CL, Naquin MR, Gillan WW, Gusew EE, Kraemer RR.
    Med Sci Sports Exerc; 2018 Mar 11; 50(3):624-633. PubMed ID: 29189666
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  • 20. Automatic heart rate normalization for accurate energy expenditure estimation. An analysis of activities of daily living and heart rate features.
    Altini M, Penders J, Vullers R, Amft O.
    Methods Inf Med; 2014 Mar 11; 53(5):382-8. PubMed ID: 25245124
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