264 related articles for article (PubMed ID: 24504428)
1. EMG, heart rate, and accelerometer as estimators of energy expenditure in locomotion.
Tikkanen O; Kärkkäinen S; Haakana P; Kallinen M; Pullinen T; Finni T
Med Sci Sports Exerc; 2014 Sep; 46(9):1831-9. PubMed ID: 24504428
[TBL] [Abstract][Full Text] [Related]
2. Using GPS, accelerometry and heart rate to predict outdoor graded walking energy expenditure.
de Müllenheim PY; Chaudru S; Emily M; Gernigon M; Mahé G; Bickert S; Prioux J; Noury-Desvaux B; Le Faucheur A
J Sci Med Sport; 2018 Feb; 21(2):166-172. PubMed ID: 29110991
[TBL] [Abstract][Full Text] [Related]
3. Simplification of the method of assessing daily and nightly energy expenditure in children, using heart rate monitoring calibrated against open circuit indirect calorimetry.
Beghin L; Budniok T; Vaksman G; Boussard-Delbecque L; Michaud L; Turck D; Gottrand F
Clin Nutr; 2000 Dec; 19(6):425-35. PubMed ID: 11104594
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. Predictive validity of three ActiGraph energy expenditure equations for children.
Trost SG; Way R; Okely AD
Med Sci Sports Exerc; 2006 Feb; 38(2):380-7. PubMed ID: 16531910
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. Validity of combining heart rate and uniaxial acceleration to measure free-living physical activity energy expenditure in young men.
Villars C; Bergouignan A; Dugas J; Antoun E; Schoeller DA; Roth H; Maingon AC; Lefai E; Blanc S; Simon C
J Appl Physiol (1985); 2012 Dec; 113(11):1763-71. PubMed ID: 23019315
[TBL] [Abstract][Full Text] [Related]
8. Comparison of the TriTrac-R3D accelerometer and a self-report activity diary with heart-rate monitoring for the assessment of energy expenditure in children.
Rodriguez G; Béghin L; Michaud L; Moreno LA; Turck D; Gottrand F
Br J Nutr; 2002 Jun; 87(6):623-31. PubMed ID: 12067433
[TBL] [Abstract][Full Text] [Related]
9. Use of heart rate to predict energy expenditure from low to high activity levels.
Hiilloskorpi HK; Pasanen ME; Fogelholm MG; Laukkanen RM; Mänttäri AT
Int J Sports Med; 2003 Jul; 24(5):332-6. PubMed ID: 12868043
[TBL] [Abstract][Full Text] [Related]
10. Automatic heart rate normalization for accurate energy expenditure estimation. An analysis of activities of daily living and heart rate features.
Altini M; Penders J; Vullers R; Amft O
Methods Inf Med; 2014; 53(5):382-8. PubMed ID: 25245124
[TBL] [Abstract][Full Text] [Related]
11. Energy expenditure of walking at different intensities in Brazilian college women.
Anjos LA; Wahrlich V; Bossan FM; Salies MN; Silva PB
Clin Nutr; 2008 Feb; 27(1):121-5. PubMed ID: 17981375
[TBL] [Abstract][Full Text] [Related]
12. Validity of the simultaneous heart rate-motion sensor technique for measuring energy expenditure.
Strath SJ; Bassett DR; Thompson DL; Swartz AM
Med Sci Sports Exerc; 2002 May; 34(5):888-94. PubMed ID: 11984311
[TBL] [Abstract][Full Text] [Related]
13. Validity of the Nike+ device during walking and running.
Kane NA; Simmons MC; John D; Thompson DL; Bassett DR
Int J Sports Med; 2010 Feb; 31(2):101-5. PubMed ID: 20027538
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. Estimation of Free-Living Energy Expenditure by Heart Rate and Movement Sensing: A Doubly-Labelled Water Study.
Brage S; Westgate K; Franks PW; Stegle O; Wright A; Ekelund U; Wareham NJ
PLoS One; 2015; 10(9):e0137206. PubMed ID: 26349056
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. Evaluation of low-intensity physical activity by triaxial accelerometry.
Midorikawa T; Tanaka S; Kaneko K; Koizumi K; Ishikawa-Takata K; Futami J; Tabata I
Obesity (Silver Spring); 2007 Dec; 15(12):3031-8. PubMed ID: 18198312
[TBL] [Abstract][Full Text] [Related]
18. Comparison of PAEE from combined and separate heart rate and movement models in children.
Corder K; Brage S; Wareham NJ; Ekelund U
Med Sci Sports Exerc; 2005 Oct; 37(10):1761-7. PubMed ID: 16260978
[TBL] [Abstract][Full Text] [Related]
19. An Investigation of Surface EMG Shorts-Derived Training Load during Treadmill Running.
Ashcroft K; Robinson T; Condell J; Penpraze V; White A; Bird SP
Sensors (Basel); 2023 Aug; 23(15):. PubMed ID: 37571780
[TBL] [Abstract][Full Text] [Related]
20. Simultaneous heart rate-motion sensor technique to estimate energy expenditure.
Strath SJ; Bassett DR; Swartz AM; Thompson DL
Med Sci Sports Exerc; 2001 Dec; 33(12):2118-23. PubMed ID: 11740308
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]