These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

118 related articles for article (PubMed ID: 22467836)

  • 1. Prediction of energy expenditure from wrist accelerometry in people with and without Down syndrome.
    Agiovlasitis S; Motl RW; Foley JT; Fernhall B
    Adapt Phys Activ Q; 2012 Apr; 29(2):179-90. PubMed ID: 22467836
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Metabolic rate and accelerometer output during walking in people with Down syndrome.
    Agiovlasitis S; Motl RW; Fahs CA; Ranadive SM; Yan H; Echols GH; Rossow L; Fernhall B
    Med Sci Sports Exerc; 2011 Jul; 43(7):1322-7. PubMed ID: 21200346
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Predicting METs from the heart rate index in persons with Down syndrome.
    Agiovlasitis S; Rossow LM; Yan H; Ranadive SM; Fahs CA; Motl RW; Fernhall B
    Res Dev Disabil; 2014 Oct; 35(10):2423-9. PubMed ID: 24981191
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Prediction of oxygen uptake during over-ground walking in people with and without Down syndrome.
    Agiovlasitis S; Motl RW; Ranadive SM; Fahs CA; Yan H; Echols GH; Rossow L; Fernhall B
    Eur J Appl Physiol; 2011 Aug; 111(8):1739-45. PubMed ID: 21221988
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Wrist-worn triaxial accelerometry predicts the energy expenditure of non-vigorous daily physical activities.
    Sirichana W; Dolezal BA; Neufeld EV; Wang X; Cooper CB
    J Sci Med Sport; 2017 Aug; 20(8):761-765. PubMed ID: 28159535
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Step-rate thresholds for moderate and vigorous-intensity activity in persons with Down syndrome.
    Agiovlasitis S; Beets MW; Motl RW; Fernhall B
    J Sci Med Sport; 2012 Sep; 15(5):425-30. PubMed ID: 22497721
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Prediction of energy expenditure during walking in adults with down syndrome.
    Agiovlasitis S; Mendonca GV; McCubbin JA; Fernhall B
    J Appl Res Intellect Disabil; 2018 Jan; 31 Suppl 1():151-156. PubMed ID: 28815878
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Triaxial accelerometer output predicts oxygen uptake in adults with Down syndrome.
    Allred AT; Choi P; Agiovlasitis S
    Disabil Rehabil; 2021 Sep; 43(18):2602-2609. PubMed ID: 31880164
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Comparison of uniaxial and triaxial accelerometer outputs among individuals with and without Down syndrome.
    Leung W; Schuna JM; Yun J
    J Intellect Disabil Res; 2021 Jan; 65(1):77-85. PubMed ID: 33145849
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Accelerometer output and its association with energy expenditure in persons with multiple sclerosis.
    Sandroff BM; Motl RW; Suh Y
    J Rehabil Res Dev; 2012; 49(3):467-75. PubMed ID: 22773205
    [TBL] [Abstract][Full Text] [Related]  

  • 11. METs and accelerometry of walking in older adults: standard versus measured energy cost.
    Hall KS; Howe CA; Rana SR; Martin CL; Morey MC
    Med Sci Sports Exerc; 2013 Mar; 45(3):574-82. PubMed ID: 23059862
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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; 63(1):21-30. PubMed ID: 30239068
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Predicting the rate of oxygen uptake from step counts using ActiGraph waist-worn accelerometers in adults with Down syndrome.
    Bertapelli F; Allred AT; Choi P; Pitchford EA; Guerra-Junior G; Agiovlasitis S
    J Intellect Disabil Res; 2020 Aug; 64(8):602-611. PubMed ID: 32511847
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Predicting walking METs and energy expenditure from speed or accelerometry.
    Brooks AG; Gunn SM; Withers RT; Gore CJ; Plummer JL
    Med Sci Sports Exerc; 2005 Jul; 37(7):1216-23. PubMed ID: 16015141
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Comparing the standards of one metabolic equivalent of task in accurately estimating physical activity energy expenditure based on acceleration.
    Kim D; Lee J; Park HK; Jang DP; Song S; Cho BH; Jung YS; Park RW; Joo NS; Kim IY
    J Sports Sci; 2017 Jul; 35(13):1279-1286. PubMed ID: 27556835
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A random forest classifier for the prediction of energy expenditure and type of physical activity from wrist and hip accelerometers.
    Ellis K; Kerr J; Godbole S; Lanckriet G; Wing D; Marshall S
    Physiol Meas; 2014 Nov; 35(11):2191-203. PubMed ID: 25340969
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Predicting physical activity energy expenditure in manual wheelchair users.
    Nightingale TE; Walhim JP; Thompson D; Bilzon JL
    Med Sci Sports Exerc; 2014 Sep; 46(9):1849-58. PubMed ID: 25134004
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Accelerometer-determined physical activity and walking capacity in persons with Down syndrome, Williams syndrome and Prader-Willi syndrome.
    Nordstrøm M; Hansen BH; Paus B; Kolset SO
    Res Dev Disabil; 2013 Dec; 34(12):4395-403. PubMed ID: 24139709
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Walking economy of adults with Down syndrome.
    Mendonca GV; Pereira FD; Morato PP; Fernhall B
    Int J Sports Med; 2010 Jan; 31(1):10-5. PubMed ID: 20029734
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Accuracy of a piezoelectric pedometer in persons with and without Down syndrome.
    Agiovlasitis S; Beets MW; Lamberth J; Pitetti KH; Fernhall B
    Res Dev Disabil; 2016 Dec; 59():73-79. PubMed ID: 27518921
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.