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Pubmed for Handhelds

PUBMED FOR HANDHELDS

Journal Abstract Search

326 related items for PubMed ID: 31518999

  • 41. Wrist Accelerometry for Physical Activity Measurement in Individuals With Spinal Cord Injury-A Need for Individually Calibrated Cut-Points.
    McCracken LA, Ma JK, Voss C, Chan FH, Martin Ginis KA, West CR.
    Arch Phys Med Rehabil; 2018 Apr; 99(4):684-689. PubMed ID: 29222006
    [Abstract] [Full Text] [Related]

  • 42. Exercise intensity of active video gaming in cerebral palsy: hip- versus wrist-worn accelerometer data.
    Kaya Ciddi P, Yilmaz Ö.
    Dev Neurorehabil; 2022 Oct; 25(7):479-484. PubMed ID: 35815544
    [Abstract] [Full Text] [Related]

  • 43. Comparison of step-count outcomes across seven different activity trackers: a free-living experiment with young and older adults.
    Nakagata T, Yamada Y, Taniguchi M, Nanri H, Kimura M, Miyachi M, Ono R.
    BMC Sports Sci Med Rehabil; 2024 Jul 18; 16(1):156. PubMed ID: 39026366
    [Abstract] [Full Text] [Related]

  • 44. Wrist-based accelerometer cut-points for quantifying moderate-to-vigorous intensity physical activity in Parkinson's disease.
    Jeng B, Cederberg KLJ, Lai B, Sasaki JE, Bamman MM, Motl RW.
    Gait Posture; 2022 Jan 18; 91():235-239. PubMed ID: 34749075
    [Abstract] [Full Text] [Related]

  • 45. Converting between estimates of moderate-to-vigorous physical activity derived from raw accelerations measured at the wrist and from ActiGraph counts measured at the hip: the Rosetta Stone.
    Brazendale K, Beets MW, Rowlands AV, Chandler JL, Fairclough SJ, Boddy LM, Olds TS, Parfitt G, Noonan RJ, Downs SJ, Cliff DP.
    J Sports Sci; 2018 Nov 18; 36(22):2603-2607. PubMed ID: 29708474
    [Abstract] [Full Text] [Related]

  • 46. Classification of physical activity intensities using a wrist-worn accelerometer in 8-12-year-old children.
    Chandler JL, Brazendale K, Beets MW, Mealing BA.
    Pediatr Obes; 2016 Apr 18; 11(2):120-7. PubMed ID: 25893950
    [Abstract] [Full Text] [Related]

  • 47. Validation of the Vivago Wrist-Worn accelerometer in the assessment of physical activity.
    Vanhelst J, Hurdiel R, Mikulovic J, Bui-Xuân G, Fardy P, Theunynck D, Béghin L.
    BMC Public Health; 2012 Aug 22; 12():690. PubMed ID: 22913286
    [Abstract] [Full Text] [Related]

  • 48. Age group comparability of raw accelerometer output from wrist- and hip-worn monitors.
    Hildebrand M, VAN Hees VT, Hansen BH, Ekelund U.
    Med Sci Sports Exerc; 2014 Sep 22; 46(9):1816-24. PubMed ID: 24887173
    [Abstract] [Full Text] [Related]

  • 49. Validity and comparability of a wrist-worn accelerometer in children.
    Ekblom O, Nyberg G, Bak EE, Ekelund U, Marcus C.
    J Phys Act Health; 2012 Mar 22; 9(3):389-93. PubMed ID: 22454440
    [Abstract] [Full Text] [Related]

  • 50. A comparison of physical activity from Actigraph GT3X+ accelerometers worn on the dominant and non-dominant wrist.
    Buchan DS, McSeveney F, McLellan G.
    Clin Physiol Funct Imaging; 2019 Jan 22; 39(1):51-56. PubMed ID: 30058765
    [Abstract] [Full Text] [Related]

  • 51. Separating bedtime rest from activity using waist or wrist-worn accelerometers in youth.
    Tracy DJ, Xu Z, Choi L, Acra S, Chen KY, Buchowski MS.
    PLoS One; 2014 Jan 22; 9(4):e92512. PubMed ID: 24727999
    [Abstract] [Full Text] [Related]

  • 52. Physical activity classification using the GENEA wrist-worn accelerometer.
    Zhang S, Rowlands AV, Murray P, Hurst TL.
    Med Sci Sports Exerc; 2012 Apr 22; 44(4):742-8. PubMed ID: 21988935
    [Abstract] [Full Text] [Related]

  • 53. Sampling frequency affects the processing of Actigraph raw acceleration data to activity counts.
    Brønd JC, Arvidsson D.
    J Appl Physiol (1985); 2016 Feb 01; 120(3):362-9. PubMed ID: 26635347
    [Abstract] [Full Text] [Related]

  • 54. Machine learning for activity recognition: hip versus wrist data.
    Trost SG, Zheng Y, Wong WK.
    Physiol Meas; 2014 Nov 01; 35(11):2183-9. PubMed ID: 25340887
    [Abstract] [Full Text] [Related]

  • 55. Do wearable fitness devices correlate with performance-based tests of work-related functional capacity?
    Karpman J, Gross DP, Manns P, Tomkins-Lane C.
    Work; 2020 Nov 01; 66(1):201-211. PubMed ID: 32417827
    [Abstract] [Full Text] [Related]

  • 56. Raw Accelerometer Data Analysis with GGIR R-package: Does Accelerometer Brand Matter?
    Rowlands AV, Yates T, Davies M, Khunti K, Edwardson CL.
    Med Sci Sports Exerc; 2016 Oct 01; 48(10):1935-41. PubMed ID: 27183118
    [Abstract] [Full Text] [Related]

  • 57. Calibration and Cross-Validation of Accelerometer Cut-Points to Classify Sedentary Time and Physical Activity from Hip and Non-Dominant and Dominant Wrists in Older Adults.
    Migueles JH, Cadenas-Sanchez C, Alcantara JMA, Leal-Martín J, Mañas A, Ara I, Glynn NW, Shiroma EJ.
    Sensors (Basel); 2021 May 11; 21(10):. PubMed ID: 34064790
    [Abstract] [Full Text] [Related]

  • 58. Estimating Sedentary Time from a Hip- and Wrist-Worn Accelerometer.
    Marcotte RT, Petrucci GJ, Cox MF, Freedson PS, Staudenmayer JW, Sirard JR.
    Med Sci Sports Exerc; 2020 Jan 11; 52(1):225-232. PubMed ID: 31343523
    [Abstract] [Full Text] [Related]

  • 59. Feasibility of a Chest-worn accelerometer for physical activity measurement.
    Zhang JH, Macfarlane DJ, Sobko T.
    J Sci Med Sport; 2016 Dec 11; 19(12):1015-1019. PubMed ID: 27017012
    [Abstract] [Full Text] [Related]

  • 60. Accelerometer counts and raw acceleration output in relation to mechanical loading.
    Rowlands AV, Stiles VH.
    J Biomech; 2012 Feb 02; 45(3):448-54. PubMed ID: 22218284
    [Abstract] [Full Text] [Related]

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