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Pubmed for Handhelds

PUBMED FOR HANDHELDS

Journal Abstract Search

201 related items for PubMed ID: 22705466

  • 1.
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  • 2. Step counting and energy expenditure estimation in patients with chronic obstructive pulmonary disease and healthy elderly: accuracy of 2 motion sensors.
    Furlanetto KC, Bisca GW, Oldemberg N, Sant'anna TJ, Morakami FK, Camillo CA, Cavalheri V, Hernandes NA, Probst VS, Ramos EM, Brunetto AF, Pitta F.
    Arch Phys Med Rehabil; 2010 Feb; 91(2):261-7. PubMed ID: 20159131
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  • 3. Activity monitoring for assessment of physical activities in daily life in patients with chronic obstructive pulmonary disease.
    Pitta F, Troosters T, Spruit MA, Decramer M, Gosselink R.
    Arch Phys Med Rehabil; 2005 Oct; 86(10):1979-85. PubMed ID: 16213242
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  • 6. Evaluation of a wearable body monitoring device during treadmill walking and jogging in patients with fibromyalgia syndrome.
    Munguía-Izquierdo D, Santalla A, Legaz-Arrese A.
    Arch Phys Med Rehabil; 2012 Jan; 93(1):115-22. PubMed ID: 22200390
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  • 7. Using pedometers to monitor walking activity in outcome assessment for pulmonary rehabilitation.
    Dallas MI, McCusker C, Haggerty MC, Rochester CL, Zuwallack R, Northeast Pulmonary Rehabilitation Consortium.
    Chron Respir Dis; 2009 Jan; 6(4):217-24. PubMed ID: 19858351
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  • 9. Reliability of pedometers to measure step counts in patients with chronic respiratory disease.
    Turner LJ, Houchen L, Williams J, Singh SJ.
    J Cardiopulm Rehabil Prev; 2012 Jan; 32(5):284-91. PubMed ID: 22785145
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  • 11. Is walking in daily life a moderate intensity activity in patients with chronic obstructive pulmonary disease?
    Vitorasso R, Camillo CA, Cavalheri V, Aparecida Hernandes N, Cortez Verceze A, Sant'Anna T, Ferreira Monteiro F, Ramos EM, Pitta F.
    Eur J Phys Rehabil Med; 2012 Dec; 48(4):587-92. PubMed ID: 23138677
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  • 12. Repeatability of usual and fast walking speeds in patients with chronic obstructive pulmonary disease.
    Rozenberg D, Dolmage TE, Evans RA, Goldstein RS.
    J Cardiopulm Rehabil Prev; 2014 Dec; 34(5):348-54. PubMed ID: 24918352
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  • 13. Validity and reliability of the modified shuttle walk test in patients with chronic obstructive pulmonary disease.
    Campo LA, Chilingaryan G, Berg K, Paradis B, Mazer B.
    Arch Phys Med Rehabil; 2006 Jul; 87(7):918-22. PubMed ID: 16813778
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  • 14. Predictive validity of three ActiGraph energy expenditure equations for children.
    Trost SG, Way R, Okely AD.
    Med Sci Sports Exerc; 2006 Feb; 38(2):380-7. PubMed ID: 16531910
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  • 15. Energy expenditure prediction using a miniaturized ear-worn sensor.
    Atallah L, Leong JJ, Lo B, Yang GZ.
    Med Sci Sports Exerc; 2011 Jul; 43(7):1369-77. PubMed ID: 21200349
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  • 17. 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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  • 18. Validation of the Fitbit One, Garmin Vivofit and Jawbone UP activity tracker in estimation of energy expenditure during treadmill walking and running.
    Price K, Bird SR, Lythgo N, Raj IS, Wong JY, Lynch C.
    J Med Eng Technol; 2017 Apr; 41(3):208-215. PubMed ID: 27919170
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  • 19. Comparative validity of accelerometer-based measures of physical activity for people with multiple sclerosis.
    Coote S, O'Dwyer C.
    Arch Phys Med Rehabil; 2012 Nov; 93(11):2022-8. PubMed ID: 22634293
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  • 20. Estimation of maximal work rate based on the 6-minute walk test and fat-free mass in chronic obstructive pulmonary disease.
    Cavalheri V, Hernandes NA, Camillo CA, Probst VS, Ramos D, Pitta F.
    Arch Phys Med Rehabil; 2010 Oct; 91(10):1626-8. PubMed ID: 20875524
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