212 related articles for article (PubMed ID: 33514289)
1. Reliability of ActiGraph GT3X+ placement location in the estimation of energy expenditure during moderate and high-intensity physical activities in young and older adults.
Kossi O; Lacroix J; Ferry B; Batcho CS; Julien-Vergonjanne A; Mandigout S
J Sports Sci; 2021 Jul; 39(13):1489-1496. PubMed ID: 33514289
[TBL] [Abstract][Full Text] [Related]
2. Validity of the ActiGraph GT3X+ and BodyMedia SenseWear Armband to estimate energy expenditure during physical activity and sport.
Gastin PB; Cayzer C; Dwyer D; Robertson S
J Sci Med Sport; 2018 Mar; 21(3):291-295. PubMed ID: 28797831
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. 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]
5. Comparing ActiGraph equations for estimating energy expenditure in older adults.
Aguilar-Farias N; Peeters GMEEG; Brychta RJ; Chen KY; Brown WJ
J Sports Sci; 2019 Jan; 37(2):188-195. PubMed ID: 29912666
[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. 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]
8. A catalog of validity indices for step counting wearable technologies during treadmill walking: the CADENCE-Kids study.
Gould ZR; Mora-Gonzalez J; Aguiar EJ; Schuna JM; Barreira TV; Moore CC; Staudenmayer J; Tudor-Locke C
Int J Behav Nutr Phys Act; 2021 Jul; 18(1):97. PubMed ID: 34271922
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. Comparison of Indirect Calorimetry- and Accelerometry-Based Energy Expenditure During Children's Discrete Skill Performance.
Sacko R; McIver K; Brazendale K; Pfeifer C; Brian A; Nesbitt D; Stodden DF
Res Q Exerc Sport; 2019 Dec; 90(4):629-640. PubMed ID: 31441713
[No Abstract] [Full Text] [Related]
11. Measurement of Physical Activity with Wrist-Worn ActiGraph GT3X+ in Older Women.
Smith MT; Kishman EE; Weaver RG; O'Neill JR; Wang X
Int J Exerc Sci; 2022; 15(7):1538-1553. PubMed ID: 36618018
[TBL] [Abstract][Full Text] [Related]
12. Accuracy and precision of wrist-worn actigraphy for measuring steps taken during over-ground and treadmill walking in adults with Parkinson's disease.
Cederberg KLJ; Jeng B; Sasaki JE; Lai B; Bamman M; Motl RW
Parkinsonism Relat Disord; 2021 Jul; 88():102-107. PubMed ID: 34171566
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. Validation of five minimally obstructive methods to estimate physical activity energy expenditure in young adults in semi-standardized settings.
Schneller MB; Pedersen MT; Gupta N; Aadahl M; Holtermann A
Sensors (Basel); 2015 Mar; 15(3):6133-51. PubMed ID: 25781506
[TBL] [Abstract][Full Text] [Related]
15. Comparison of four Fitbit and Jawbone activity monitors with a research-grade ActiGraph accelerometer for estimating physical activity and energy expenditure.
Imboden MT; Nelson MB; Kaminsky LA; Montoye AH
Br J Sports Med; 2018 Jul; 52(13):844-850. PubMed ID: 28483930
[TBL] [Abstract][Full Text] [Related]
16. Validation of SenseWear Armband in children, adolescents, and adults.
Lopez GA; Brønd JC; Andersen LB; Dencker M; Arvidsson D
Scand J Med Sci Sports; 2018 Feb; 28(2):487-495. PubMed ID: 28543847
[TBL] [Abstract][Full Text] [Related]
17. Prediction of energy expenditure and physical activity in preschoolers.
Butte NF; Wong WW; Lee JS; Adolph AL; Puyau MR; Zakeri IF
Med Sci Sports Exerc; 2014 Jun; 46(6):1216-26. PubMed ID: 24195866
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. Predicting Chinese children and youth's energy expenditure using ActiGraph accelerometers: a calibration and cross-validation study.
Zhu Z; Chen P; Zhuang J
Res Q Exerc Sport; 2013 Dec; 84 Suppl 2():S56-63. PubMed ID: 24527567
[TBL] [Abstract][Full Text] [Related]
20. Predicting ambulatory energy expenditure in lower limb amputees using multi-sensor methods.
Ladlow P; Nightingale TE; McGuigan MP; Bennett AN; Phillip RD; Bilzon JLJ
PLoS One; 2019; 14(1):e0209249. PubMed ID: 30703115
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]