221 related articles for article (PubMed ID: 30067593)
1. Wrist-worn Accelerometry for Runners: Objective Quantification of Training Load.
Stiles VH; Pearce M; Moore IS; Langford J; Rowlands AV
Med Sci Sports Exerc; 2018 Nov; 50(11):2277-2284. PubMed ID: 30067593
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Validity of energy expenditure estimation methods during 10 days of military training.
Siddall AG; Powell SD; Needham-Beck SC; Edwards VC; Thompson JES; Kefyalew SS; Singh PA; Orford ER; Venables MC; Jackson S; Greeves JP; Blacker SD; Myers SD
Scand J Med Sci Sports; 2019 Sep; 29(9):1313-1321. PubMed ID: 31136027
[TBL] [Abstract][Full Text] [Related]
4. Number of Days Required to Estimate Habitual Activity Using Wrist-Worn GENEActiv Accelerometer: A Cross-Sectional Study.
Dillon CB; Fitzgerald AP; Kearney PM; Perry IJ; Rennie KL; Kozarski R; Phillips CM
PLoS One; 2016; 11(5):e0109913. PubMed ID: 27149674
[TBL] [Abstract][Full Text] [Related]
5. Normative wrist-worn accelerometer values for self-paced walking and running: a walk in the park.
Dawkins NP; Yates T; Soczawa-Stronczyk AA; Bocian M; Edwardson CL; Maylor B; Davies MJ; Khunti K; Rowlands AV
J Sports Sci; 2022 Jan; 40(1):81-88. PubMed ID: 34544319
[TBL] [Abstract][Full Text] [Related]
6. Comparability of children's sedentary time estimates derived from wrist worn GENEActiv and hip worn ActiGraph accelerometer thresholds.
Boddy LM; Noonan RJ; Kim Y; Rowlands AV; Welk GJ; Knowles ZR; Fairclough SJ
J Sci Med Sport; 2018 Oct; 21(10):1045-1049. PubMed ID: 29650338
[TBL] [Abstract][Full Text] [Related]
7. Intensity Thresholds on Raw Acceleration Data: Euclidean Norm Minus One (ENMO) and Mean Amplitude Deviation (MAD) Approaches.
Bakrania K; Yates T; Rowlands AV; Esliger DW; Bunnewell S; Sanders J; Davies M; Khunti K; Edwardson CL
PLoS One; 2016; 11(10):e0164045. PubMed ID: 27706241
[TBL] [Abstract][Full Text] [Related]
8. How well do activity monitors estimate energy expenditure? A systematic review and meta-analysis of the validity of current technologies.
O'Driscoll R; Turicchi J; Beaulieu K; Scott S; Matu J; Deighton K; Finlayson G; Stubbs J
Br J Sports Med; 2020 Mar; 54(6):332-340. PubMed ID: 30194221
[TBL] [Abstract][Full Text] [Related]
9. The backwards comparability of wrist worn GENEActiv and waist worn ActiGraph accelerometer estimates of sedentary time in children.
Boddy LM; Noonan RJ; Rowlands AV; Hurter L; Knowles ZR; Fairclough SJ
J Sci Med Sport; 2019 Jul; 22(7):814-820. PubMed ID: 30803818
[TBL] [Abstract][Full Text] [Related]
10. Raw Acceleration from Wrist- and Hip-Worn Accelerometers Corresponds with Mechanical Loading in Children and Adolescents.
Brailey G; Metcalf B; Price L; Cumming S; Stiles V
Sensors (Basel); 2023 Aug; 23(15):. PubMed ID: 37571725
[TBL] [Abstract][Full Text] [Related]
11. Validation of the Phillips et al. GENEActiv accelerometer wrist cut-points in children aged 5-8 years old.
Duncan MJ; Wilson S; Tallis J; Eyre E
Eur J Pediatr; 2016 Dec; 175(12):2019-2021. PubMed ID: 27785561
[TBL] [Abstract][Full Text] [Related]
12. Moving Beyond Weekly "Distance": Optimizing Quantification of Training Load in Runners.
Paquette MR; Napier C; Willy RW; Stellingwerff T
J Orthop Sports Phys Ther; 2020 Oct; 50(10):564-569. PubMed ID: 32741325
[TBL] [Abstract][Full Text] [Related]
13. Calibration of GENEActiv accelerometer wrist cut-points for the assessment of physical activity intensity of preschool aged children.
Roscoe CMP; James RS; Duncan MJ
Eur J Pediatr; 2017 Aug; 176(8):1093-1098. PubMed ID: 28674825
[TBL] [Abstract][Full Text] [Related]
14. Energy cost of running instability evaluated with wearable trunk accelerometry.
Schütte KH; Sackey S; Venter R; Vanwanseele B
J Appl Physiol (1985); 2018 Feb; 124(2):462-472. PubMed ID: 28751372
[TBL] [Abstract][Full Text] [Related]
15. Use of accelerometry to classify activity beneficial to bone in premenopausal women.
Stiles VH; Griew PJ; Rowlands AV
Med Sci Sports Exerc; 2013 Dec; 45(12):2353-61. PubMed ID: 23698245
[TBL] [Abstract][Full Text] [Related]
16. Field evaluation of a random forest activity classifier for wrist-worn accelerometer data.
Pavey TG; Gilson ND; Gomersall SR; Clark B; Trost SG
J Sci Med Sport; 2017 Jan; 20(1):75-80. PubMed ID: 27372275
[TBL] [Abstract][Full Text] [Related]
17. Training-induced changes in daily energy expenditure: Methodological evaluation using wrist-worn accelerometer, heart rate monitor, and doubly labeled water technique.
Kinnunen H; Häkkinen K; Schumann M; Karavirta L; Westerterp KR; Kyröläinen H
PLoS One; 2019; 14(7):e0219563. PubMed ID: 31291373
[TBL] [Abstract][Full Text] [Related]
18. The Relationship Between Whole-Body External Loading and Body-Worn Accelerometry During Team-Sport Movements.
Nedergaard NJ; Robinson MA; Eusterwiemann E; Drust B; Lisboa PJ; Vanrenterghem J
Int J Sports Physiol Perform; 2017 Jan; 12(1):18-26. PubMed ID: 27002795
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. Workload efficiency as a new tool to describe external and internal competitive match load of a professional soccer team: A descriptive study on the relationship between pre-game training loads and relative match load.
Grünbichler J; Federolf P; Gatterer H
Eur J Sport Sci; 2020 Sep; 20(8):1034-1041. PubMed ID: 31762408
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]