BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

118 related articles for article (PubMed ID: 35383539)

  • 1. Validity study of a triaxial accelerometer for measuring energy expenditure in stroke inpatients of a physical medicine and rehabilitation center.
    Daniel CR; Yazbek P; Santos ACA; Battistella LR
    Top Stroke Rehabil; 2023 May; 30(4):402-409. PubMed ID: 35383539
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Validity of wearable actimeter computation of total energy expenditure during walking in post-stroke individuals.
    Compagnat M; Mandigout S; Batcho CS; Vuillerme N; Salle JY; David R; Daviet JC
    Ann Phys Rehabil Med; 2020 May; 63(3):209-215. PubMed ID: 31408710
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Metabolic Energy Expenditure and Accelerometer-Determined Physical Activity Levels in Post-Stroke Hemiparetic Patients.
    Fonte G; Schreiber C; Areno G; Masson X; Chantraine F; Schütz G; Dierick F
    J Stroke Cerebrovasc Dis; 2022 May; 31(5):106397. PubMed ID: 35228022
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Does Google Fit provide valid energy expenditure measurements of functional tasks compared to those of Fibion accelerometer in healthy individuals? A cross-sectional study.
    Arumugam A; Samara SS; Shalash RJ; Qadah RM; Farhani AM; Alnajim HM; Alkalih HY
    Diabetes Metab Syndr; 2021; 15(6):102301. PubMed ID: 34592530
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Wrist-Worn Activity Trackers in Laboratory and Free-Living Settings for Patients With Chronic Pain: Criterion Validity Study.
    Sjöberg V; Westergren J; Monnier A; Lo Martire R; Hagströmer M; Äng BO; Vixner L
    JMIR Mhealth Uhealth; 2021 Jan; 9(1):e24806. PubMed ID: 33433391
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Validity of the Actigraph GT3x and influence of the sensor positioning for the assessment of active energy expenditure during four activities of daily living in stroke subjects.
    Compagnat M; Mandigout S; Chaparro D; Daviet JC; Salle JY
    Clin Rehabil; 2018 Dec; 32(12):1696-1704. PubMed ID: 30012036
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Comparison of uniaxial and triaxial accelerometry in the assessment of physical activity among adolescents under free-living conditions: the HELENA study.
    Vanhelst J; Béghin L; Duhamel A; Bergman P; Sjöström M; Gottrand F
    BMC Med Res Methodol; 2012 Mar; 12():26. PubMed ID: 22409718
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Is a triaxial accelerometer a reliable device to measure head excursion?
    Ambusam S; Omar B; Joseph L; Meng SP; Padzil FA
    Technol Health Care; 2015; 23(5):691-7. PubMed ID: 26410131
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. Influence of Accelerometer Placement and/or Heart Rate on Energy Expenditure Prediction during Uphill Exercise.
    Kuo TBJ; Li JY; Chen CY; Lin YC; Tsai MW; Lin SP; Yang CCH
    J Mot Behav; 2018; 50(2):127-133. PubMed ID: 28850303
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Validity of the accelerometer and smartphone application in estimating energy expenditure in individuals with chronic stroke.
    Faria GS; Polese JC; Ribeiro-Samora GA; Scianni AA; Faria CDCM; Teixeira-Salmela LF
    Braz J Phys Ther; 2019; 23(3):236-243. PubMed ID: 30143357
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. Validation of the Fitbit One, Garmin Vivofit and Jawbone UP activity tracker in estimation of energy expenditure during treadmill walking and running.
    Price K; Bird SR; Lythgo N; Raj IS; Wong JY; Lynch C
    J Med Eng Technol; 2017 Apr; 41(3):208-215. PubMed ID: 27919170
    [TBL] [Abstract][Full Text] [Related]  

  • 14. The Best Choice of Oxygen Cost Prediction Equation for Computing Post-Stroke Walking Energy Expenditure Using an Accelerometer.
    Compagnat M; Salle JY; Vinti M; Joste R; Daviet JC
    Neurorehabil Neural Repair; 2022 Apr; 36(4-5):298-305. PubMed ID: 35168439
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Estimation of resistance exercise energy expenditure using triaxial accelerometry.
    Stec MJ; Rawson ES
    J Strength Cond Res; 2012 May; 26(5):1413-22. PubMed ID: 22222328
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Quantification of energy expenditure during daily living activities after stroke by multi-sensor.
    Compagnat M; Daviet JC; Batcho CS; David R; Salle JY; Mandigout S
    Brain Inj; 2019; 33(10):1341-1346. PubMed ID: 31309843
    [No Abstract]   [Full Text] [Related]  

  • 17. Comparative validity of accelerometer-based measures of physical activity for people with multiple sclerosis.
    Coote S; O'Dwyer C
    Arch Phys Med Rehabil; 2012 Nov; 93(11):2022-8. PubMed ID: 22634293
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Validity of the Use of a Triaxial Accelerometer and a Physical Activity Questionnaire for Estimating Total Energy Expenditure and Physical Activity Level among Elderly Patients with Type 2 Diabetes Mellitus: CLEVER-DM Study.
    Nishida Y; Tanaka S; Nakae S; Yamada Y; Morino K; Kondo K; Nishida K; Ohi A; Kurihara M; Sasaki M; Ugi S; Maegawa H; Ebine N; Sasaki S; Katsukawa F
    Ann Nutr Metab; 2020; 76(1):62-72. PubMed ID: 32172232
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Accelerometry calibration in people with class II-III obesity: Energy expenditure prediction and physical activity intensity identification.
    Diniz-Sousa F; Veras L; Ribeiro JC; Boppre G; Devezas V; Santos-Sousa H; Preto J; Machado L; Vilas-Boas JP; Oliveira J; Fonseca H
    Gait Posture; 2020 Feb; 76():104-109. PubMed ID: 31756665
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 6.