BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

414 related articles for article (PubMed ID: 22770768)

  • 1. Calibration of the GENEA accelerometer for assessment of physical activity intensity in children.
    Phillips LR; Parfitt G; Rowlands AV
    J Sci Med Sport; 2013 Mar; 16(2):124-8. PubMed ID: 22770768
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. Validation of the GENEA Accelerometer.
    Esliger DW; Rowlands AV; Hurst TL; Catt M; Murray P; Eston RG
    Med Sci Sports Exerc; 2011 Jun; 43(6):1085-93. PubMed ID: 21088628
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Children's physical activity assessed with wrist- and hip-worn accelerometers.
    Rowlands AV; Rennie K; Kozarski R; Stanley RM; Eston RG; Parfitt GC; Olds TS
    Med Sci Sports Exerc; 2014 Dec; 46(12):2308-16. PubMed ID: 24781890
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Cut points of the Actigraph GT9X for moderate and vigorous intensity physical activity at four different wear locations.
    Rhudy MB; Dreisbach SB; Moran MD; Ruggiero MJ; Veerabhadrappa P
    J Sports Sci; 2020 Mar; 38(5):503-510. PubMed ID: 31865845
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Establishing cut-points for physical activity classification using triaxial accelerometer in middle-aged recreational marathoners.
    Hernando C; Hernando C; Collado EJ; Panizo N; Martinez-Navarro I; Hernando B
    PLoS One; 2018; 13(8):e0202815. PubMed ID: 30157271
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Calibration of wrist-worn ActiWatch 2 and ActiGraph wGT3X for assessment of physical activity in young adults.
    Lee P; Tse CY
    Gait Posture; 2019 Feb; 68():141-149. PubMed ID: 30476691
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Use of accelerometry to classify activity beneficial to bone in premenopausal women.
    Stiles VH; Griew PJ; Rowlands AV
    Med Sci Sports Exerc; 2013 Dec; 45(12):2353-61. PubMed ID: 23698245
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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; 11(2):120-7. PubMed ID: 25893950
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. Calibration and Validation of a Wrist- and Hip-Worn Actigraph Accelerometer in 4-Year-Old Children.
    Johansson E; Larisch LM; Marcus C; Hagströmer M
    PLoS One; 2016; 11(9):e0162436. PubMed ID: 27617962
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Calibration and Cross-Validation of the ActiGraph wGT3X+ Accelerometer for the Estimation of Physical Activity Intensity in Children with Intellectual Disabilities.
    McGarty AM; Penpraze V; Melville CA
    PLoS One; 2016; 11(10):e0164928. PubMed ID: 27760219
    [TBL] [Abstract][Full Text] [Related]  

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

  • 14. Validation of the Phillips et al. GENEActiv accelerometer wrist cut-points in children aged 5-8 years old.
    Duncan MJ; Wilson S; Tallis J; Eyre E
    Eur J Pediatr; 2016 Dec; 175(12):2019-2021. PubMed ID: 27785561
    [TBL] [Abstract][Full Text] [Related]  

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

  • 16. Using accelerometry to classify physical activity intensity in older adults: What is the optimal wear-site?
    Duncan MJ; Rowlands A; Lawson C; Leddington Wright S; Hill M; Morris M; Eyre E; Tallis J
    Eur J Sport Sci; 2020 Sep; 20(8):1131-1139. PubMed ID: 31726952
    [No Abstract]   [Full Text] [Related]  

  • 17. Intensity classification accuracy of accelerometer-measured physical activities in Chinese children and youth.
    Zhu Z; Chen P; Zhuang J
    Res Q Exerc Sport; 2013 Dec; 84 Suppl 2():S4-11. PubMed ID: 24527562
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Comparability of children's sedentary time estimates derived from wrist worn GENEActiv and hip worn ActiGraph accelerometer thresholds.
    Boddy LM; Noonan RJ; Kim Y; Rowlands AV; Welk GJ; Knowles ZR; Fairclough SJ
    J Sci Med Sport; 2018 Oct; 21(10):1045-1049. PubMed ID: 29650338
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Intensity Thresholds on Raw Acceleration Data: Euclidean Norm Minus One (ENMO) and Mean Amplitude Deviation (MAD) Approaches.
    Bakrania K; Yates T; Rowlands AV; Esliger DW; Bunnewell S; Sanders J; Davies M; Khunti K; Edwardson CL
    PLoS One; 2016; 11(10):e0164045. PubMed ID: 27706241
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Validation of the GT3X ActiGraph in children and comparison with the GT1M ActiGraph.
    Hänggi JM; Phillips LR; Rowlands AV
    J Sci Med Sport; 2013 Jan; 16(1):40-4. PubMed ID: 22749938
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 21.