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Pubmed for Handhelds

PUBMED FOR HANDHELDS

Journal Abstract Search

326 related items for PubMed ID: 31518999

  • 61. Wrist Accelerometer Cut Points for Classifying Sedentary Behavior in Children.
    VAN Loo CM, Okely AD, Batterham MJ, Hinkley T, Ekelund U, Brage S, Reilly JJ, Trost SG, Jones RA, Janssen X, Cliff DP.
    Med Sci Sports Exerc; 2017 Apr; 49(4):813-822. PubMed ID: 27851669
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  • 62. Wrist-specific accelerometry methods for estimating free-living physical activity.
    Kingsley MIC, Nawaratne R, O'Halloran PD, Montoye AHK, Alahakoon D, De Silva D, Staley K, Nicholson M.
    J Sci Med Sport; 2019 Jun; 22(6):677-683. PubMed ID: 30558904
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  • 63. Comparison of Indirect Calorimetry- and Accelerometry-Based Energy Expenditure During Children's Discrete Skill Performance.
    Sacko R, McIver K, Brazendale K, Pfeifer C, Brian A, Nesbitt D, Stodden DF.
    Res Q Exerc Sport; 2019 Dec; 90(4):629-640. PubMed ID: 31441713
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  • 64. Development of raw acceleration cut-points for wrist and hip accelerometers to assess sedentary behaviour and physical activity in 5-7-year-old children.
    Crotti M, Foweather L, Rudd JR, Hurter L, Schwarz S, Boddy LM.
    J Sports Sci; 2020 May; 38(9):1036-1045. PubMed ID: 32228156
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  • 65. Wear compliance, sedentary behaviour and activity in free-living children from hip-and wrist-mounted ActiGraph GT3X+ accelerometers.
    McLellan G, Arthur R, Buchan DS.
    J Sports Sci; 2018 Nov; 36(21):2424-2430. PubMed ID: 29620970
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  • 66. Comparison of linear and non-linear models for predicting energy expenditure from raw accelerometer data.
    Montoye AHK, Begum M, Henning Z, Pfeiffer KA.
    Physiol Meas; 2017 Feb; 38(2):343-357. PubMed ID: 28107205
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  • 71. Accuracy and precision of wrist-worn actigraphy for measuring steps taken during over-ground and treadmill walking in adults with Parkinson's disease.
    Cederberg KLJ, Jeng B, Sasaki JE, Lai B, Bamman M, Motl RW.
    Parkinsonism Relat Disord; 2021 Jul; 88():102-107. PubMed ID: 34171566
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  • 72. Daily physical activity patterns from hip- and wrist-worn accelerometers.
    Shiroma EJ, Schepps MA, Harezlak J, Chen KY, Matthews CE, Koster A, Caserotti P, Glynn NW, Harris TB.
    Physiol Meas; 2016 Oct; 37(10):1852-1861. PubMed ID: 27654140
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  • 73. The validity of the commercially-available, low-cost, wrist-worn Movband accelerometer during treadmill exercise and free-living physical activity.
    Barkley JE, Glickman E, Fennell C, Kobak M, Frank M, Farnell G.
    J Sports Sci; 2019 Apr; 37(7):735-740. PubMed ID: 30238836
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  • 74. Comparison of Wrist- and Hip-Worn Activity Monitors When Meeting Step Guidelines.
    Nelson RK, Hasanaj K, Connolly G, Millen L, Muench J, Bidolli NSC, Preston MA, Montoye AHK.
    Prev Chronic Dis; 2022 Apr 14; 19():E18. PubMed ID: 35420981
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  • 75. Sensor-enabled Activity Class Recognition in Preschoolers: Hip versus Wrist Data.
    Trost SG, Cliff DP, Ahmadi MN, Tuc NV, Hagenbuchner M.
    Med Sci Sports Exerc; 2018 Mar 14; 50(3):634-641. PubMed ID: 29059107
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  • 76. Calibration of GENEActiv accelerometer wrist cut-points for the assessment of physical activity intensity of preschool aged children.
    Roscoe CMP, James RS, Duncan MJ.
    Eur J Pediatr; 2017 Aug 14; 176(8):1093-1098. PubMed ID: 28674825
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  • 80. Equivalence of activity outcomes derived from three research grade accelerometers worn simultaneously on each wrist.
    Buchan DS.
    J Sports Sci; 2022 Apr 14; 40(7):797-807. PubMed ID: 34962185
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