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 *

250 related articles for article (PubMed ID: 26673127)

  • 1. Decision Trees for Detection of Activity Intensity in Youth with Cerebral Palsy.
    Trost SG; Fragala-Pinkham M; Lennon N; O'Neil ME
    Med Sci Sports Exerc; 2016 May; 48(5):958-66. PubMed ID: 26673127
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Machine learning algorithms for activity recognition in ambulant children and adolescents with cerebral palsy.
    Ahmadi M; O'Neil M; Fragala-Pinkham M; Lennon N; Trost S
    J Neuroeng Rehabil; 2018 Nov; 15(1):105. PubMed ID: 30442154
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Quantification of Physical Activity and Sedentary Time in Adults with Cerebral Palsy.
    Claridge EA; McPhee PG; Timmons BW; Martin Ginis KA; Macdonald MJ; Gorter JW
    Med Sci Sports Exerc; 2015 Aug; 47(8):1719-26. PubMed ID: 25423446
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Reliability and Validity of Objective Measures of Physical Activity in Youth With Cerebral Palsy Who Are Ambulatory.
    O'Neil ME; Fragala-Pinkham M; Lennon N; George A; Forman J; Trost SG
    Phys Ther; 2016 Jan; 96(1):37-45. PubMed ID: 26089043
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Ability of RT3 accelerometer cut points to detect physical activity intensity in ambulatory children with cerebral palsy.
    Ryan J; Walsh M; Gormley J
    Adapt Phys Activ Q; 2014 Oct; 31(4):310-24. PubMed ID: 25211479
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Comparison of intensity-based cut-points for the RT3 accelerometer in youth.
    Joschtel BJ; Trost SG
    J Sci Med Sport; 2014 Sep; 17(5):501-5. PubMed ID: 24262335
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Accelerometry: a feasible method to quantify physical activity in ambulatory and nonambulatory adolescents with cerebral palsy.
    Gorter JW; Noorduyn SG; Obeid J; Timmons BW
    Int J Pediatr; 2012; 2012():329284. PubMed ID: 22792119
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Actigraph GT3X: validation and determination of physical activity intensity cut points.
    Santos-Lozano A; Santín-Medeiros F; Cardon G; Torres-Luque G; Bailón R; Bergmeir C; Ruiz JR; Lucia A; Garatachea N
    Int J Sports Med; 2013 Nov; 34(11):975-82. PubMed ID: 23700330
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Validity of accelerometry in ambulatory children and adolescents with cerebral palsy.
    Clanchy KM; Tweedy SM; Boyd RN; Trost SG
    Eur J Appl Physiol; 2011 Dec; 111(12):2951-9. PubMed ID: 21442163
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Evaluation of Wrist Accelerometer Cut-Points for Classifying Physical Activity Intensity in Youth.
    Trost SG; Brookes DSK; Ahmadi MN
    Front Digit Health; 2022; 4():884307. PubMed ID: 35585912
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Physical Activity Levels and Adiposity in Ambulant Children and Adolescents With Cerebral Palsy Compared With Their Typically Developing Peers.
    Janzen L; Toomey CM; Brunton LK; Condliffe EG; Esau S; Kirton A; Emery CA; Kuntze G
    Pediatr Exerc Sci; 2023 Nov; 35(4):225-231. PubMed ID: 36944367
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Measuring reliability and validity of the ActiGraph GT3X accelerometer for children with cerebral palsy: a feasibility study.
    O'Neil ME; Fragala-Pinkham MA; Forman JL; Trost SG
    J Pediatr Rehabil Med; 2014; 7(3):233-40. PubMed ID: 25260506
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Machine Learning to Quantify Physical Activity in Children with Cerebral Palsy: Comparison of Group, Group-Personalized, and Fully-Personalized Activity Classification Models.
    Ahmadi MN; O'Neil ME; Baque E; Boyd RN; Trost SG
    Sensors (Basel); 2020 Jul; 20(14):. PubMed ID: 32708963
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Physical Activity Levels of Adolescents and Adults With Cerebral Palsy in Urban South Africa.
    Salie R; Eken MM; Donald KA; Fieggen AG; Langerak NG
    Front Neurol; 2021; 12():747361. PubMed ID: 34777217
    [No Abstract]   [Full Text] [Related]  

  • 15. Device-based measurement of physical activity in pre-schoolers: Comparison of machine learning and cut point methods.
    Ahmadi MN; Trost SG
    PLoS One; 2022; 17(4):e0266970. PubMed ID: 35417492
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Locomotion and cadence detection using a single trunk-fixed accelerometer: validity for children with cerebral palsy in daily life-like conditions.
    Paraschiv-Ionescu A; Newman CJ; Carcreff L; Gerber CN; Armand S; Aminian K
    J Neuroeng Rehabil; 2019 Feb; 16(1):24. PubMed ID: 30717753
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Estimating physical activity in youth using a wrist accelerometer.
    Crouter SE; Flynn JI; Bassett DR
    Med Sci Sports Exerc; 2015 May; 47(5):944-51. PubMed ID: 25207928
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Validity of the International Physical Activity Questionnaire Short Form (IPAQ-SF) as a measure of physical activity (PA) in young people with cerebral palsy: A cross-sectional study.
    Lavelle G; Noorkoiv M; Theis N; Korff T; Kilbride C; Baltzopoulos V; Shortland A; Levin W; Ryan JM
    Physiotherapy; 2020 Jun; 107():209-215. PubMed ID: 32026822
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 13.