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Pubmed for Handhelds

PUBMED FOR HANDHELDS

Journal Abstract Search

209 related items for PubMed ID: 29846134

  • 1. A comprehensive comparison of simple step counting techniques using wrist- and ankle-mounted accelerometer and gyroscope signals.
    Rhudy MB, Mahoney JM.
    J Med Eng Technol; 2018 Apr; 42(3):236-243. PubMed ID: 29846134
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  • 2. Field evaluation of a random forest activity classifier for wrist-worn accelerometer data.
    Pavey TG, Gilson ND, Gomersall SR, Clark B, Trost SG.
    J Sci Med Sport; 2017 Jan; 20(1):75-80. PubMed ID: 27372275
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  • 3. Validation of the Fitbit One® for physical activity measurement at an upper torso attachment site.
    Diaz KM, Krupka DJ, Chang MJ, Shaffer JA, Ma Y, Goldsmith J, Schwartz JE, Davidson KW.
    BMC Res Notes; 2016 Apr 12; 9():213. PubMed ID: 27068022
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  • 5. Validity of using tri-axial accelerometers to measure human movement - Part II: Step counts at a wide range of gait velocities.
    Fortune E, Lugade V, Morrow M, Kaufman K.
    Med Eng Phys; 2014 Jun 12; 36(6):659-69. PubMed ID: 24656871
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  • 6. Validation of open-source step-counting algorithms for wrist-worn tri-axial accelerometers in cardiovascular patients.
    Femiano R, Werner C, Wilhelm M, Eser P.
    Gait Posture; 2022 Feb 12; 92():206-211. PubMed ID: 34864486
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  • 7. 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 12; 48(5):941-50. PubMed ID: 26673129
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  • 8. Validation of a wireless accelerometer network for energy expenditure measurement.
    Montoye AH, Dong B, Biswas S, Pfeiffer KA.
    J Sports Sci; 2016 Nov 12; 34(21):2130-9. PubMed ID: 26942316
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  • 9. Gait regularity assessed by wearable sensors: Comparison between accelerometer and gyroscope data for different sensor locations and walking speeds in healthy subjects.
    Scalera GM, Ferrarin M, Rabuffetti M.
    J Biomech; 2020 Dec 02; 113():110115. PubMed ID: 33221581
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  • 12. Validity of a trunk-mounted accelerometer to assess peak accelerations during walking, jogging and running.
    Wundersitz DW, Gastin PB, Richter C, Robertson SJ, Netto KJ.
    Eur J Sport Sci; 2015 Dec 02; 15(5):382-90. PubMed ID: 25196466
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  • 14. Step-counting accuracy of activity monitors in persons with Down syndrome.
    Bertapelli F, Curtis JS, Carlson B, Johnson M, Abadie B, Agiovlasitis S.
    J Intellect Disabil Res; 2019 Jan 02; 63(1):21-30. PubMed ID: 30239068
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  • 15. 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 02; 19(1):219-26. PubMed ID: 24691168
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  • 16. Ngram time series model to predict activity type and energy cost from wrist, hip and ankle accelerometers: implications of age.
    Strath SJ, Kate RJ, Keenan KG, Welch WA, Swartz AM.
    Physiol Meas; 2015 Nov 02; 36(11):2335-51. PubMed ID: 26449155
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  • 19. Analyzing walking speeds with ankle and wrist worn accelerometers in a cohort with myotonic dystrophy.
    Jimenez-Moreno AC, Charman SJ, Nikolenko N, Larweh M, Turner C, Gorman G, Lochmüller H, Catt M.
    Disabil Rehabil; 2019 Dec 02; 41(24):2972-2978. PubMed ID: 29987963
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  • 20. Physical activity classification using the GENEA wrist-worn accelerometer.
    Zhang S, Rowlands AV, Murray P, Hurst TL.
    Med Sci Sports Exerc; 2012 Apr 02; 44(4):742-8. PubMed ID: 21988935
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