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PUBMED FOR HANDHELDS

Journal Abstract Search


197 related items for PubMed ID: 30012036

  • 1. Validity of the Actigraph GT3x and influence of the sensor positioning for the assessment of active energy expenditure during four activities of daily living in stroke subjects.
    Compagnat M, Mandigout S, Chaparro D, Daviet JC, Salle JY.
    Clin Rehabil; 2018 Dec; 32(12):1696-1704. PubMed ID: 30012036
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  • 2. Validity of wearable actimeter computation of total energy expenditure during walking in post-stroke individuals.
    Compagnat M, Mandigout S, Batcho CS, Vuillerme N, Salle JY, David R, Daviet JC.
    Ann Phys Rehabil Med; 2020 May; 63(3):209-215. PubMed ID: 31408710
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  • 8. A random forest classifier for the prediction of energy expenditure and type of physical activity from wrist and hip accelerometers.
    Ellis K, Kerr J, Godbole S, Lanckriet G, Wing D, Marshall S.
    Physiol Meas; 2014 Nov; 35(11):2191-203. PubMed ID: 25340969
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  • 9. 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 Nov; 15(6):e0234426. PubMed ID: 32525912
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  • 10. Predicting physical activity energy expenditure in manual wheelchair users.
    Nightingale TE, Walhim JP, Thompson D, Bilzon JL.
    Med Sci Sports Exerc; 2014 Sep; 46(9):1849-58. PubMed ID: 25134004
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  • 11. Comparison of four Fitbit and Jawbone activity monitors with a research-grade ActiGraph accelerometer for estimating physical activity and energy expenditure.
    Imboden MT, Nelson MB, Kaminsky LA, Montoye AH.
    Br J Sports Med; 2018 Jul; 52(13):844-850. PubMed ID: 28483930
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  • 12. Can energy expenditure be accurately assessed using accelerometry-based wearable motion detectors for physical activity monitoring in post-stroke patients in the subacute phase?
    Mandigout S, Lacroix J, Ferry B, Vuillerme N, Compagnat M, Daviet JC.
    Eur J Prev Cardiol; 2017 Dec; 24(18):2009-2016. PubMed ID: 29067851
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  • 14. Validation and comparison of two methods to assess human energy expenditure during free-living activities.
    Anastasopoulou P, Tubic M, Schmidt S, Neumann R, Woll A, Härtel S.
    PLoS One; 2014 Dec; 9(2):e90606. PubMed ID: 24587401
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  • 15. Predicting ambulatory energy expenditure in lower limb amputees using multi-sensor methods.
    Ladlow P, Nightingale TE, McGuigan MP, Bennett AN, Phillip RD, Bilzon JLJ.
    PLoS One; 2019 Dec; 14(1):e0209249. PubMed ID: 30703115
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  • 16. Estimating Physical Activity and Sedentary Behavior in a Free-Living Context: A Pragmatic Comparison of Consumer-Based Activity Trackers and ActiGraph Accelerometry.
    Gomersall SR, Ng N, Burton NW, Pavey TG, Gilson ND, Brown WJ.
    J Med Internet Res; 2016 Sep 07; 18(9):e239. PubMed ID: 27604226
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  • 17. 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 07; 37(2):188-195. PubMed ID: 29912666
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  • 18. Validity and Reliability of Fitbit Flex for Step Count, Moderate to Vigorous Physical Activity and Activity Energy Expenditure.
    Sushames A, Edwards A, Thompson F, McDermott R, Gebel K.
    PLoS One; 2016 Jan 07; 11(9):e0161224. PubMed ID: 27589592
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  • 19. Google fit smartphone application or Gt3X Actigraph: Which is better for detecting the stepping activity of individuals with stroke? A validity study.
    Polese JC, E Faria GS, Ribeiro-Samora GA, Lima LP, Coelho de Morais Faria CD, Scianni AA, Teixeira-Salmela LF.
    J Bodyw Mov Ther; 2019 Jul 07; 23(3):461-465. PubMed ID: 31563356
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