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Pubmed for Handhelds

PUBMED FOR HANDHELDS

Journal Abstract Search

226 related items for PubMed ID: 24755646

  • 1. Prediction models discriminating between nonlocomotive and locomotive activities in children using a triaxial accelerometer with a gravity-removal physical activity classification algorithm.
    Hikihara Y, Tanaka C, Oshima Y, Ohkawara K, Ishikawa-Takata K, Tanaka S.
    PLoS One; 2014; 9(4):e94940. PubMed ID: 24755646
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  • 3. Validation and comparison of 3 accelerometers for measuring physical activity intensity during nonlocomotive activities and locomotive movements.
    Hikihara Y, Tanaka S, Ohkawara K, Ishikawa-Takata K, Tabata I.
    J Phys Act Health; 2012 Sep; 9(7):935-43. PubMed ID: 22971884
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  • 11. Establishing and evaluating wrist cutpoints for the GENEActiv accelerometer in youth.
    Schaefer CA, Nigg CR, Hill JO, Brink LA, Browning RC.
    Med Sci Sports Exerc; 2014 Apr; 46(4):826-33. PubMed ID: 24121241
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  • 12. Triaxial accelerometry for assessment of physical activity in young children.
    Tanaka C, Tanaka S, Kawahara J, Midorikawa T.
    Obesity (Silver Spring); 2007 May; 15(5):1233-41. PubMed ID: 17495200
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  • 18. Estimating metabolic equivalents for activities in daily life using acceleration and heart rate in wearable devices.
    Nakanishi M, Izumi S, Nagayoshi S, Kawaguchi H, Yoshimoto M, Shiga T, Ando T, Nakae S, Usui C, Aoyama T, Tanaka S.
    Biomed Eng Online; 2018 Jul 28; 17(1):100. PubMed ID: 30055617
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  • 20. Objectively evaluated physical activity and sedentary time in primary school children by gender, grade and types of physical education lessons.
    Tanaka C, Tanaka M, Tanaka S.
    BMC Public Health; 2018 Aug 02; 18(1):948. PubMed ID: 30068319
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