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 *

140 related articles for article (PubMed ID: 31102474)

  • 1. Re-examination of accelerometer data processing and calibration for the assessment of physical activity intensity.
    Arvidsson D; Fridolfsson J; Börjesson M; Andersen LB; Ekblom Ö; Dencker M; Brønd JC
    Scand J Med Sci Sports; 2019 Oct; 29(10):1442-1452. PubMed ID: 31102474
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Reexamination of Accelerometer Calibration with Energy Expenditure as Criterion: VO
    Arvidsson D; Fridolfsson J; Buck C; Ekblom Ö; Ekblom-Bak E; Lissner L; Hunsberger M; Börjesson M
    Sensors (Basel); 2019 Aug; 19(15):. PubMed ID: 31374854
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Calibration of GENEActiv accelerometer wrist cut-points for the assessment of physical activity intensity of preschool aged children.
    Roscoe CMP; James RS; Duncan MJ
    Eur J Pediatr; 2017 Aug; 176(8):1093-1098. PubMed ID: 28674825
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A Biomechanical Re-Examination of Physical Activity Measurement with Accelerometers.
    Fridolfsson J; Börjesson M; Arvidsson D
    Sensors (Basel); 2018 Oct; 18(10):. PubMed ID: 30314272
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Calibration and validation of accelerometer-based activity monitors: A systematic review of machine-learning approaches.
    Farrahi V; Niemelä M; Kangas M; Korpelainen R; Jämsä T
    Gait Posture; 2019 Feb; 68():285-299. PubMed ID: 30579037
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. 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]  

  • 8. Measuring moderate-intensity walking in older adults using the ActiGraph accelerometer.
    Barnett A; van den Hoek D; Barnett D; Cerin E
    BMC Geriatr; 2016 Dec; 16(1):211. PubMed ID: 27931188
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Wrist-based cut-points for moderate- and vigorous-intensity physical activity for the Actical accelerometer in adults.
    Diaz KM; Krupka DJ; Chang MJ; Kronish IM; Moise N; Goldsmith J; Schwartz JE
    J Sports Sci; 2018 Jan; 36(2):206-212. PubMed ID: 28282744
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Do moderate- to vigorous-intensity accelerometer count thresholds correspond to relative moderate- to vigorous-intensity physical activity?
    Raiber L; Christensen RAG; Randhawa AK; Jamnik VK; Kuk JL
    Appl Physiol Nutr Metab; 2019 Apr; 44(4):407-413. PubMed ID: 30248278
    [TBL] [Abstract][Full Text] [Related]  

  • 11. From accelerometer output to physical activity intensities in breast cancer patients.
    Sweegers MG; Buffart LM; Huijsmans RJ; Konings IR; van Zweeden AA; Brug J; Chinapaw MJM; Altenburg TM
    J Sci Med Sport; 2020 Feb; 23(2):176-181. PubMed ID: 31537492
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Calibration of accelerometer output for children.
    Freedson P; Pober D; Janz KF
    Med Sci Sports Exerc; 2005 Nov; 37(11 Suppl):S523-30. PubMed ID: 16294115
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Estimating Physical Activity in Children Aged 8-11 Years Using Accelerometry: Contributions From Fundamental Movement Skills and Different Accelerometer Placements.
    Duncan MJ; Roscoe CMP; Faghy M; Tallis J; Eyre ELJ
    Front Physiol; 2019; 10():242. PubMed ID: 30936837
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Measurement of physical activity in clinical practice using accelerometers.
    Arvidsson D; Fridolfsson J; Börjesson M
    J Intern Med; 2019 Aug; 286(2):137-153. PubMed ID: 30993807
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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; 36(11):2335-51. PubMed ID: 26449155
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Absolute Accelerometer-Based Intensity Prescription Compared to Physiological Variables in Pregnant and Nonpregnant Women.
    Birnbaumer P; Dietz P; Watson ED; Mukoma G; Müller A; Sattler MC; Jaunig J; van Poppel MNM; Hofmann P
    Int J Environ Res Public Health; 2020 Aug; 17(16):. PubMed ID: 32764431
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Validation of Cut-Points for Evaluating the Intensity of Physical Activity with Accelerometry-Based Mean Amplitude Deviation (MAD).
    Vähä-Ypyä H; Vasankari T; Husu P; Mänttäri A; Vuorimaa T; Suni J; Sievänen H
    PLoS One; 2015; 10(8):e0134813. PubMed ID: 26292225
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Predicting energy expenditure from accelerometry counts in adolescent girls.
    Schmitz KH; Treuth M; Hannan P; McMurray R; Ring KB; Catellier D; Pate R
    Med Sci Sports Exerc; 2005 Jan; 37(1):155-61. PubMed ID: 15632682
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. 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]  

    [Next]    [New Search]
    of 7.