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Pubmed for Handhelds

PUBMED FOR HANDHELDS

Journal Abstract Search

132 related items for PubMed ID: 39390591

  • 1. 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
    [Abstract] [Full Text] [Related]

  • 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 Oct 10; 11(10):e0164045. PubMed ID: 27706241
    [Abstract] [Full Text] [Related]

  • 3. 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 Oct 10; 7():18. PubMed ID: 26251724
    [Abstract] [Full Text] [Related]

  • 4. Determination of cut-off points for the Move4 accelerometer in children aged 8-13 years.
    Beck F, Marzi I, Eisenreich A, Seemüller S, Tristram C, Reimers AK.
    BMC Sports Sci Med Rehabil; 2023 Nov 28; 15(1):163. PubMed ID: 38017586
    [Abstract] [Full Text] [Related]

  • 5. Personalised Accelerometer Cut-point Prediction for Older Adults' Movement Behaviours using a Machine Learning approach.
    Nnamoko N, Cabrera-Diego LA, Campbell D, Sanders G, Fairclough SJ, Korkontzelos I.
    Comput Methods Programs Biomed; 2021 Sep 28; 208():106165. PubMed ID: 34118492
    [Abstract] [Full Text] [Related]

  • 6. A universal, accurate intensity-based classification of different physical activities using raw data of accelerometer.
    Vähä-Ypyä H, Vasankari T, Husu P, Suni J, Sievänen H.
    Clin Physiol Funct Imaging; 2015 Jan 28; 35(1):64-70. PubMed ID: 24393233
    [Abstract] [Full Text] [Related]

  • 7. 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 28; 176(8):1093-1098. PubMed ID: 28674825
    [Abstract] [Full Text] [Related]

  • 8. Validation of Cut-Points for Evaluating the Intensity of Physical Activity with Accelerometry-Based Mean Amplitude Deviation (MAD).
    Vähä-Ypyä H, Vasankari T, Husu P, Mänttäri A, Vuorimaa T, Suni J, Sievänen H.
    PLoS One; 2015 Aug 28; 10(8):e0134813. PubMed ID: 26292225
    [Abstract] [Full Text] [Related]

  • 9. Calibrating Wrist-Worn Accelerometers for Physical Activity Assessment in Preschoolers: Machine Learning Approaches.
    Li S, Howard JT, Sosa ET, Cordova A, Parra-Medina D, Yin Z.
    JMIR Form Res; 2020 Aug 31; 4(8):e16727. PubMed ID: 32667893
    [Abstract] [Full Text] [Related]

  • 10. Calibration of hip accelerometers for measuring physical activity and sedentary behaviours in adults with Down syndrome.
    Agiovlasitis S, Ballenger BK, Schultz EE, Du Q, Motl RW.
    J Intellect Disabil Res; 2023 Feb 31; 67(2):172-181. PubMed ID: 36514268
    [Abstract] [Full Text] [Related]

  • 11. Separating bedtime rest from activity using waist or wrist-worn accelerometers in youth.
    Tracy DJ, Xu Z, Choi L, Acra S, Chen KY, Buchowski MS.
    PLoS One; 2014 Feb 31; 9(4):e92512. PubMed ID: 24727999
    [Abstract] [Full Text] [Related]

  • 12. Calibration and Cross-Validation of Accelerometery for Estimating Movement Skills in Children Aged 8-12 Years.
    Duncan MJ, Dobell A, Noon M, Clark CCT, Roscoe CMP, Faghy MA, Stodden D, Sacko R, Eyre ELJ.
    Sensors (Basel); 2020 May 13; 20(10):. PubMed ID: 32414192
    [Abstract] [Full Text] [Related]

  • 13. Measuring Physical Activity in Free-Living Conditions-Comparison of Three Accelerometry-Based Methods.
    Leinonen AM, Ahola R, Kulmala J, Hakonen H, Vähä-Ypyä H, Herzig KH, Auvinen J, Keinänen-Kiukaanniemi S, Sievänen H, Tammelin TH, Korpelainen R, Jämsä T.
    Front Physiol; 2016 May 13; 7():681. PubMed ID: 28119626
    [Abstract] [Full Text] [Related]

  • 14. Validation and Comparison of Accelerometers Worn on the Hip, Thigh, and Wrists for Measuring Physical Activity and Sedentary Behavior.
    Montoye AHK, Pivarnik JM, Mudd LM, Biswas S, Pfeiffer KA.
    AIMS Public Health; 2016 May 13; 3(2):298-312. PubMed ID: 29546164
    [Abstract] [Full Text] [Related]

  • 15. Wrist-based cut-points for moderate- and vigorous-intensity physical activity for the Actical accelerometer in adults.
    Diaz KM, Krupka DJ, Chang MJ, Kronish IM, Moise N, Goldsmith J, Schwartz JE.
    J Sports Sci; 2018 Jan 13; 36(2):206-212. PubMed ID: 28282744
    [Abstract] [Full Text] [Related]

  • 16. Examination of different accelerometer cut-points for assessing sedentary behaviors in children.
    Kim Y, Lee JM, Peters BP, Gaesser GA, Welk GJ.
    PLoS One; 2014 Jan 13; 9(4):e90630. PubMed ID: 24699259
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