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PUBMED FOR HANDHELDS

Journal Abstract Search


193 related items for PubMed ID: 21712150

  • 1. Identifying types of physical activity with a single accelerometer: evaluating laboratory-trained algorithms in daily life.
    Gyllensten IC, Bonomi AG.
    IEEE Trans Biomed Eng; 2011 Sep; 58(9):2656-63. PubMed ID: 21712150
    [Abstract] [Full Text] [Related]

  • 2. Physical activity classification using the GENEA wrist-worn accelerometer.
    Zhang S, Rowlands AV, Murray P, Hurst TL.
    Med Sci Sports Exerc; 2012 Apr; 44(4):742-8. PubMed ID: 21988935
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  • 3. Feature selection and activity recognition system using a single triaxial accelerometer.
    Gupta P, Dallas T.
    IEEE Trans Biomed Eng; 2014 Jun; 61(6):1780-6. PubMed ID: 24691526
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  • 7. Real-time estimation of daily physical activity intensity by a triaxial accelerometer and a gravity-removal classification algorithm.
    Ohkawara K, Oshima Y, Hikihara Y, Ishikawa-Takata K, Tabata I, Tanaka S.
    Br J Nutr; 2011 Jun; 105(11):1681-91. PubMed ID: 21262061
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  • 8. Performance of Activity Classification Algorithms in Free-Living Older Adults.
    Sasaki JE, Hickey AM, Staudenmayer JW, John D, Kent JA, Freedson PS.
    Med Sci Sports Exerc; 2016 May; 48(5):941-50. PubMed ID: 26673129
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  • 9. Single-accelerometer-based daily physical activity classification.
    Long X, Yin B, Aarts RM.
    Annu Int Conf IEEE Eng Med Biol Soc; 2009 May; 2009():6107-10. PubMed ID: 19965261
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  • 10. 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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  • 14. Identification of children's activity type with accelerometer-based neural networks.
    de Vries SI, Engels M, Garre FG.
    Med Sci Sports Exerc; 2011 Oct; 43(10):1994-9. PubMed ID: 21448085
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  • 15. Classifying household and locomotive activities using a triaxial accelerometer.
    Oshima Y, Kawaguchi K, Tanaka S, Ohkawara K, Hikihara Y, Ishikawa-Takata K, Tabata I.
    Gait Posture; 2010 Mar; 31(3):370-4. PubMed ID: 20138524
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  • 16. Multisensor data fusion for physical activity assessment.
    Liu S, Gao RX, John D, Staudenmayer JW, Freedson PS.
    IEEE Trans Biomed Eng; 2012 Mar; 59(3):687-96. PubMed ID: 22156943
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  • 17. Child activity recognition based on cooperative fusion model of a triaxial accelerometer and a barometric pressure sensor.
    Nam Y, Park JW.
    IEEE J Biomed Health Inform; 2013 Mar; 17(2):420-6. PubMed ID: 24235114
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  • 18. A wearable sensor module with a neural-network-based activity classification algorithm for daily energy expenditure estimation.
    Lin CW, Yang YT, Wang JS, Yang YC.
    IEEE Trans Inf Technol Biomed; 2012 Sep; 16(5):991-8. PubMed ID: 22875251
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  • 19. Comparison of the performance of the activPAL Professional physical activity logger to a discrete accelerometer-based activity monitor.
    Godfrey A, Culhane KM, Lyons GM.
    Med Eng Phys; 2007 Oct; 29(8):930-4. PubMed ID: 17134934
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  • 20. SoM: a smart sensor for human activity monitoring and assisted healthy ageing.
    Naranjo-Hernández D, Roa LM, Reina-Tosina J, Estudillo-Valderrama MÁ.
    IEEE Trans Biomed Eng; 2012 Nov; 59(11):3177-84. PubMed ID: 23086195
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