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Pubmed for Handhelds

PUBMED FOR HANDHELDS

Journal Abstract Search

218 related items for PubMed ID: 26251724

  • 1. Mean amplitude deviation calculated from raw acceleration data: a novel method for classifying the intensity of adolescents' physical activity irrespective of accelerometer brand.
    Aittasalo M, Vähä-Ypyä H, Vasankari T, Husu P, Jussila AM, Sievänen H.
    BMC Sports Sci Med Rehabil; 2015; 7():18. PubMed ID: 26251724
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  • 2. Intensity Thresholds on Raw Acceleration Data: Euclidean Norm Minus One (ENMO) and Mean Amplitude Deviation (MAD) Approaches.
    Bakrania K, Yates T, Rowlands AV, Esliger DW, Bunnewell S, Sanders J, Davies M, Khunti K, Edwardson CL.
    PLoS One; 2016; 11(10):e0164045. PubMed ID: 27706241
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  • 7. Evaluation of Wrist Accelerometer Cut-Points for Classifying Physical Activity Intensity in Youth.
    Trost SG, Brookes DSK, Ahmadi MN.
    Front Digit Health; 2022; 4():884307. PubMed ID: 35585912
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  • 8. Classifying physical activity levels using Mean Amplitude Deviation in adults using a chest worn accelerometer: validation of the Vivalink ECG Patch.
    Luckhurst J, Hughes C, Shelley B.
    BMC Sports Sci Med Rehabil; 2024 Oct 10; 16(1):212. PubMed ID: 39390591
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  • 9. Comparability of accelerometer signal aggregation metrics across placements and dominant wrist cut points for the assessment of physical activity in adults.
    Migueles JH, Cadenas-Sanchez C, Rowlands AV, Henriksson P, Shiroma EJ, Acosta FM, Rodriguez-Ayllon M, Esteban-Cornejo I, Plaza-Florido A, Gil-Cosano JJ, Ekelund U, van Hees VT, Ortega FB.
    Sci Rep; 2019 Dec 03; 9(1):18235. PubMed ID: 31796778
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  • 10. Comparison of uniaxial and triaxial accelerometry in the assessment of physical activity among adolescents under free-living conditions: the HELENA study.
    Vanhelst J, Béghin L, Duhamel A, Bergman P, Sjöström M, Gottrand F.
    BMC Med Res Methodol; 2012 Mar 12; 12():26. PubMed ID: 22409718
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  • 11. Reference values for wrist-worn accelerometer physical activity metrics in England children and adolescents.
    Fairclough SJ, Rowlands AV, Del Pozo Cruz B, Crotti M, Foweather L, Graves LEF, Hurter L, Jones O, MacDonald M, McCann DA, Miller C, Noonan RJ, Owen MB, Rudd JR, Taylor SL, Tyler R, Boddy LM.
    Int J Behav Nutr Phys Act; 2023 Mar 25; 20(1):35. PubMed ID: 36964597
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  • 14. Discrepancies between methods of identifying objectively determined physical activity.
    Ham SA, Reis JP, Strath SJ, Dubose KD, Ainsworth BE.
    Med Sci Sports Exerc; 2007 Jan 25; 39(1):52-8. PubMed ID: 17218884
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  • 15. Actigraph accelerometer interinstrument reliability during free-living in adults.
    McClain JJ, Sisson SB, Tudor-Locke C.
    Med Sci Sports Exerc; 2007 Sep 25; 39(9):1509-14. PubMed ID: 17805082
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  • 16. Validation of a Zio XT Patch Accelerometer for the Objective Assessment of Physical Activity in the Atherosclerosis Risk in Communities (ARIC) Study.
    Davoudi A, Urbanek JK, Etzkorn L, Parikh R, Soliman EZ, Wanigatunga AA, Gabriel KP, Coresh J, Schrack JA, Chen LY.
    Sensors (Basel); 2024 Jan 24; 24(3):. PubMed ID: 38339479
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  • 18. Calibration and Cross-Validation of the ActiGraph wGT3X+ Accelerometer for the Estimation of Physical Activity Intensity in Children with Intellectual Disabilities.
    McGarty AM, Penpraze V, Melville CA.
    PLoS One; 2016 Jan 24; 11(10):e0164928. PubMed ID: 27760219
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  • 19. Wrist-Worn Accelerometer-Brand Independent Posture Classification.
    Rowlands AV, Yates T, Olds TS, Davies M, Khunti K, Edwardson CL.
    Med Sci Sports Exerc; 2016 Apr 24; 48(4):748-54. PubMed ID: 26559451
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  • 20. Raw and Count Data Comparability of Hip-Worn ActiGraph GT3X+ and Link Accelerometers.
    Montoye AHK, Nelson MB, Bock JM, Imboden MT, Kaminsky LA, Mackintosh KA, McNarry MA, Pfeiffer KA.
    Med Sci Sports Exerc; 2018 May 24; 50(5):1103-1112. PubMed ID: 29283934
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