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Pubmed for Handhelds

PUBMED FOR HANDHELDS

Journal Abstract Search

638 related items for PubMed ID: 24691168

  • 1. Estimating energy expenditure using body-worn accelerometers: a comparison of methods, sensors number and positioning.
    Altini M, Penders J, Vullers R, Amft O.
    IEEE J Biomed Health Inform; 2015 Jan; 19(1):219-26. PubMed ID: 24691168
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  • 2. 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
    [Abstract] [Full Text] [Related]

  • 3. Automatic heart rate normalization for accurate energy expenditure estimation. An analysis of activities of daily living and heart rate features.
    Altini M, Penders J, Vullers R, Amft O.
    Methods Inf Med; 2014 Jul; 53(5):382-8. PubMed ID: 25245124
    [Abstract] [Full Text] [Related]

  • 4. Actigraph GT3X: validation and determination of physical activity intensity cut points.
    Santos-Lozano A, Santín-Medeiros F, Cardon G, Torres-Luque G, Bailón R, Bergmeir C, Ruiz JR, Lucia A, Garatachea N.
    Int J Sports Med; 2013 Nov; 34(11):975-82. PubMed ID: 23700330
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  • 7. A random forest classifier for the prediction of energy expenditure and type of physical activity from wrist and hip accelerometers.
    Ellis K, Kerr J, Godbole S, Lanckriet G, Wing D, Marshall S.
    Physiol Meas; 2014 Nov; 35(11):2191-203. PubMed ID: 25340969
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  • 9. Evaluation of accelerometer based multi-sensor versus single-sensor activity recognition systems.
    Gao L, Bourke AK, Nelson J.
    Med Eng Phys; 2014 Jun; 36(6):779-85. PubMed ID: 24636448
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  • 11. The application of EMD in activity recognition based on a single triaxial accelerometer.
    Liao M, Guo Y, Qin Y, Wang Y.
    Biomed Mater Eng; 2015 Jun; 26 Suppl 1():S1533-9. PubMed ID: 26405917
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  • 12. Single-accelerometer-based daily physical activity classification.
    Long X, Yin B, Aarts RM.
    Annu Int Conf IEEE Eng Med Biol Soc; 2009 Jun; 2009():6107-10. PubMed ID: 19965261
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  • 14. 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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  • 16. Genetic algorithm-based classifiers fusion for multisensor activity recognition of elderly people.
    Chernbumroong S, Cang S, Yu H.
    IEEE J Biomed Health Inform; 2015 Jan; 19(1):282-9. PubMed ID: 24771599
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  • 18. A statistical estimation framework for energy expenditure of physical activities from a wrist-worn accelerometer.
    Qiao Wang, Lohit S, Toledo MJ, Buman MP, Turaga P.
    Annu Int Conf IEEE Eng Med Biol Soc; 2016 Aug; 2016():2631-2635. PubMed ID: 28268862
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