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Pubmed for Handhelds

PUBMED FOR HANDHELDS

Journal Abstract Search

394 related items for PubMed ID: 26292225

  • 1. 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; 10(8):e0134813. PubMed ID: 26292225
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  • 2. 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; 35(1):64-70. PubMed ID: 24393233
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  • 3. Performance of Different Accelerometry-Based Metrics to Estimate Oxygen Consumption during Track and Treadmill Locomotion over a Wide Intensity Range.
    Vähä-Ypyä H, Bretterhofer J, Husu P, Windhaber J, Vasankari T, Titze S, Sievänen H.
    Sensors (Basel); 2023 May 25; 23(11):. PubMed ID: 37299803
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  • 4. 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 May 25; 7():18. PubMed ID: 26251724
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  • 5. 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 May 25; 11(10):e0164045. PubMed ID: 27706241
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  • 10. Evaluating Walking Intensity with Hip-Worn Accelerometers in Elders.
    Corbett DB, Valiani V, Knaggs JD, Manini TM.
    Med Sci Sports Exerc; 2016 Nov 25; 48(11):2216-2221. PubMed ID: 27327031
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  • 12. Associations of fitness, motor competence, and adiposity with the indicators of physical activity intensity during different physical activities in children.
    Haapala EA, Gao Y, Hartikainen J, Rantalainen T, Finni T.
    Sci Rep; 2021 Jun 15; 11(1):12521. PubMed ID: 34131258
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  • 17. Estimating Oxygen Uptake During Nonsteady-State Activities and Transitions Using Wearable Sensors.
    Altini M, Penders J, Amft O.
    IEEE J Biomed Health Inform; 2016 Mar 15; 20(2):469-75. PubMed ID: 25594986
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  • 18. Comparison of accelerometer cut points for predicting activity intensity in youth.
    Trost SG, Loprinzi PD, Moore R, Pfeiffer KA.
    Med Sci Sports Exerc; 2011 Jul 15; 43(7):1360-8. PubMed ID: 21131873
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  • 19. Estimation of oxygen uptake during fast running using accelerometry and heart rate.
    Fudge BW, Wilson J, Easton C, Irwin L, Clark J, Haddow O, Kayser B, Pitsiladis YP.
    Med Sci Sports Exerc; 2007 Jan 15; 39(1):192-8. PubMed ID: 17218902
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