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 *

358 related articles for article (PubMed ID: 29546164)

  • 1. Validation and Comparison of Accelerometers Worn on the Hip, Thigh, and Wrists for Measuring Physical Activity and Sedentary Behavior.
    Montoye AHK; Pivarnik JM; Mudd LM; Biswas S; Pfeiffer KA
    AIMS Public Health; 2016; 3(2):298-312. PubMed ID: 29546164
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Calibrating Wrist-Worn Accelerometers for Physical Activity Assessment in Preschoolers: Machine Learning Approaches.
    Li S; Howard JT; Sosa ET; Cordova A; Parra-Medina D; Yin Z
    JMIR Form Res; 2020 Aug; 4(8):e16727. PubMed ID: 32667893
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Comparison of linear and non-linear models for predicting energy expenditure from raw accelerometer data.
    Montoye AHK; Begum M; Henning Z; Pfeiffer KA
    Physiol Meas; 2017 Feb; 38(2):343-357. PubMed ID: 28107205
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Examining accelerometer validity for estimating physical activity in pre-schoolers during free-living activity.
    Dobell AP; Eyre ELJ; Tallis J; Chinapaw MJM; Altenburg TM; Duncan MJ
    Scand J Med Sci Sports; 2019 Oct; 29(10):1618-1628. PubMed ID: 31206785
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Associations Between Parent Self-Reported and Accelerometer-Measured Physical Activity and Sedentary Time in Children: Ecological Momentary Assessment Study.
    de Brito JN; Loth KA; Tate A; Berge JM
    JMIR Mhealth Uhealth; 2020 May; 8(5):e15458. PubMed ID: 32348283
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Cross-validation and out-of-sample testing of physical activity intensity predictions with a wrist-worn accelerometer.
    Montoye AHK; Westgate BS; Fonley MR; Pfeiffer KA
    J Appl Physiol (1985); 2018 May; 124(5):1284-1293. PubMed ID: 29369742
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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; 52(1):225-232. PubMed ID: 31343523
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Objectively Measured Physical Activity Levels and Associated Factors in Older US Women During the COVID-19 Pandemic: Cross-sectional Study.
    Choudhury R; Park JH; Thiamwong L; Xie R; Stout JR
    JMIR Aging; 2022 Aug; 5(3):e38172. PubMed ID: 35994346
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Development of cut-points for determining activity intensity from a wrist-worn ActiGraph accelerometer in free-living adults.
    Montoye AHK; Clevenger KA; Pfeiffer KA; Nelson MB; Bock JM; Imboden MT; Kaminsky LA
    J Sports Sci; 2020 Nov; 38(22):2569-2578. PubMed ID: 32677510
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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; 21(10):. PubMed ID: 34064790
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Energy Expenditure Prediction Using Raw Accelerometer Data in Simulated Free Living.
    Montoye AH; Mudd LM; Biswas S; Pfeiffer KA
    Med Sci Sports Exerc; 2015 Aug; 47(8):1735-46. PubMed ID: 25494392
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Objective Measurement of 24-Hour Movement Behaviors in Preschool Children Using Wrist-Worn and Thigh-Worn Accelerometers.
    De Craemer M; Decraene M; Willems I; Buysse F; Van Driessche E; Verbestel V
    Int J Environ Res Public Health; 2021 Sep; 18(18):. PubMed ID: 34574402
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. Wrist Accelerometer Estimates of Physical Activity Intensity During Walking in Older Adults and People Living With Complex Health Conditions: Retrospective Observational Data Analysis Study.
    Weber KS; Godkin FE; Cornish BF; McIlroy WE; Van Ooteghem K
    JMIR Form Res; 2023 Mar; 7():e41685. PubMed ID: 36920452
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Using Activity Monitors to Measure Sit-to-Stand Transitions in Overweight/Obese Youth.
    Mitchell T; Borner K; Finch J; Kerr J; Carlson JA
    Med Sci Sports Exerc; 2017 Aug; 49(8):1592-1598. PubMed ID: 28288011
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Personalised Accelerometer Cut-point Prediction for Older Adults' Movement Behaviours using a Machine Learning approach.
    Nnamoko N; Cabrera-Diego LA; Campbell D; Sanders G; Fairclough SJ; Korkontzelos I
    Comput Methods Programs Biomed; 2021 Sep; 208():106165. PubMed ID: 34118492
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. Determination of cut-off points for the Move4 accelerometer in children aged 8-13 years.
    Beck F; Marzi I; Eisenreich A; Seemüller S; Tristram C; Reimers AK
    BMC Sports Sci Med Rehabil; 2023 Nov; 15(1):163. PubMed ID: 38017586
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Wear compliance, sedentary behaviour and activity in free-living children from hip-and wrist-mounted ActiGraph GT3X+ accelerometers.
    McLellan G; Arthur R; Buchan DS
    J Sports Sci; 2018 Nov; 36(21):2424-2430. PubMed ID: 29620970
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Evaluation of the activPAL accelerometer for physical activity and energy expenditure estimation in a semi-structured setting.
    Montoye AHK; Pivarnik JM; Mudd LM; Biswas S; Pfeiffer KA
    J Sci Med Sport; 2017 Nov; 20(11):1003-1007. PubMed ID: 28483558
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 18.