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Pubmed for Handhelds

PUBMED FOR HANDHELDS

Journal Abstract Search

249 related items for PubMed ID: 22525766

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  • 3. 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; 43(7):1360-8. PubMed ID: 21131873
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  • 7. Evaluation of the activPAL accelerometer for physical activity and energy expenditure estimation in a semi-structured setting.
    Montoye AHK, Pivarnik JM, Mudd LM, Biswas S, Pfeiffer KA.
    J Sci Med Sport; 2017 Nov; 20(11):1003-1007. PubMed ID: 28483558
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  • 8. Energy Expenditure Prediction Using Raw Accelerometer Data in Simulated Free Living.
    Montoye AH, Mudd LM, Biswas S, Pfeiffer KA.
    Med Sci Sports Exerc; 2015 Aug; 47(8):1735-46. PubMed ID: 25494392
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  • 13. Investigating optimal accelerometer placement for energy expenditure prediction in children using a machine learning approach.
    Mackintosh KA, Montoye AH, Pfeiffer KA, McNarry MA.
    Physiol Meas; 2016 Oct; 37(10):1728-1740. PubMed ID: 27653339
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  • 16. 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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  • 19. Accurate prediction of energy expenditure using a shoe-based activity monitor.
    Sazonova N, Browning RC, Sazonov E.
    Med Sci Sports Exerc; 2011 Jul; 43(7):1312-21. PubMed ID: 21131868
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