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PUBMED FOR HANDHELDS

Journal Abstract Search


189 related items for PubMed ID: 22609119

  • 1. Predicting energy expenditure of manual wheelchair users with spinal cord injury using a multisensor-based activity monitor.
    Hiremath SV, Ding D, Farringdon J, Cooper RA.
    Arch Phys Med Rehabil; 2012 Nov; 93(11):1937-43. PubMed ID: 22609119
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  • 3. Estimation of Energy Expenditure for Wheelchair Users Using a Physical Activity Monitoring System.
    Hiremath SV, Intille SS, Kelleher A, Cooper RA, Ding D.
    Arch Phys Med Rehabil; 2016 Jul; 97(7):1146-1153.e1. PubMed ID: 26976800
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  • 5. Regression equations for RT3 activity monitors to estimate energy expenditure in manual wheelchair users.
    Hiremath SV, Ding D.
    Annu Int Conf IEEE Eng Med Biol Soc; 2011 Jul; 2011():7348-51. PubMed ID: 22256036
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  • 9. Preliminary study for the assessment of physical activity using a triaxial accelerometer with a gyro sensor on the upper limbs of subjects with paraplegia driving a wheelchair on a treadmill.
    Kiuchi K, Inayama T, Muraoka Y, Ikemoto S, Uemura O, Mizuno K.
    Spinal Cord; 2014 Jul; 52(7):556-63. PubMed ID: 24819509
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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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  • 12. Energy cost of propulsion in standard and ultralight wheelchairs in people with spinal cord injuries.
    Beekman CE, Miller-Porter L, Schoneberger M.
    Phys Ther; 1999 Feb; 79(2):146-58. PubMed ID: 10029055
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  • 18. Wheelchair-related falls in veterans with spinal cord injury residing in the community: a prospective cohort study.
    Nelson AL, Groer S, Palacios P, Mitchell D, Sabharwal S, Kirby RL, Gavin-Dreschnack D, Powell-Cope G.
    Arch Phys Med Rehabil; 2010 Aug; 91(8):1166-73. PubMed ID: 20684896
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