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Items: 1 to 20 of 195

1.

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. doi: 10.1249/MSS.0b013e31829ba765.

PMID:
23698245
2.

Accelerometer counts and raw acceleration output in relation to mechanical loading.

Rowlands AV, Stiles VH.

J Biomech. 2012 Feb 2;45(3):448-54. doi: 10.1016/j.jbiomech.2011.12.006. Epub 2012 Jan 2.

3.

Children's physical activity assessed with wrist- and hip-worn accelerometers.

Rowlands AV, Rennie K, Kozarski R, Stanley RM, Eston RG, Parfitt GC, Olds TS.

Med Sci Sports Exerc. 2014 Dec;46(12):2308-16. doi: 10.1249/MSS.0000000000000365.

PMID:
24781890
4.

Validation of two accelerometers to determine mechanical loading of physical activities in children.

Meyer U, Ernst D, Schott S, Riera C, Hattendorf J, Romkes J, Granacher U, Göpfert B, Kriemler S.

J Sports Sci. 2015;33(16):1702-9. doi: 10.1080/02640414.2015.1004638. Epub 2015 Jan 26.

PMID:
25620031
5.

Cadence, peak vertical acceleration, and peak loading rate during ambulatory activities: implications for activity prescription for bone health.

Rowlands AV, Schuna JM Jr, Stiles VH, Tudor-Locke C.

J Phys Act Health. 2014 Sep;11(7):1291-4. doi: 10.1123/jpah.2012-0402. Epub 2013 Oct 31.

PMID:
24184713
6.

Assessment of gait kinetics using triaxial accelerometers.

Fortune E, Morrow MM, Kaufman KR.

J Appl Biomech. 2014 Oct;30(5):668-74. doi: 10.1123/jab.2014-0037. Epub 2014 Jul 9.

7.

Calibration of the GENEA accelerometer for assessment of physical activity intensity in children.

Phillips LR, Parfitt G, Rowlands AV.

J Sci Med Sport. 2013 Mar;16(2):124-8. doi: 10.1016/j.jsams.2012.05.013. Epub 2012 Jul 6.

PMID:
22770768
8.

Moving Forward with Backward Compatibility: Translating Wrist Accelerometer Data.

Rowlands AV, Cliff DP, Fairclough SJ, Boddy LM, Olds TS, Parfitt G, Noonan RJ, Downs SJ, Knowles ZR, Beets MW.

Med Sci Sports Exerc. 2016 Nov;48(11):2142-2149.

PMID:
27327029
9.

Hip and Wrist Accelerometer Algorithms for Free-Living Behavior Classification.

Ellis K, Kerr J, Godbole S, Staudenmayer J, Lanckriet G.

Med Sci Sports Exerc. 2016 May;48(5):933-40. doi: 10.1249/MSS.0000000000000840.

10.

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 Oct 5;11(10):e0164045. doi: 10.1371/journal.pone.0164045. eCollection 2016.

11.

Wrist Accelerometer Cut Points for Classifying Sedentary Behavior in Children.

VAN Loo CM, Okely AD, Batterham MJ, Hinkley T, Ekelund U, Brage S, Reilly JJ, Trost SG, Jones RA, Janssen X, Cliff DP.

Med Sci Sports Exerc. 2017 Apr;49(4):813-822. doi: 10.1249/MSS.0000000000001158.

12.

Ground reaction force estimates from ActiGraph GT3X+ hip accelerations.

Neugebauer JM, Collins KH, Hawkins DA.

PLoS One. 2014 Jun 10;9(6):e99023. doi: 10.1371/journal.pone.0099023. eCollection 2014.

13.

Physical activity classification using the GENEA wrist-worn accelerometer.

Zhang S, Rowlands AV, Murray P, Hurst TL.

Med Sci Sports Exerc. 2012 Apr;44(4):742-8. doi: 10.1249/MSS.0b013e31823bf95c.

PMID:
21988935
14.

Comparison of wrist-worn Fitbit Flex and waist-worn ActiGraph for measuring steps in free-living adults.

Chu AH, Ng SH, Paknezhad M, Gauterin A, Koh D, Brown MS, Müller-Riemenschneider F.

PLoS One. 2017 Feb 24;12(2):e0172535. doi: 10.1371/journal.pone.0172535. eCollection 2017.

15.

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. doi: 10.1055/s-0033-1337945. Epub 2013 May 22.

PMID:
23700330
16.

Validation of the GT3X ActiGraph in children and comparison with the GT1M ActiGraph.

Hänggi JM, Phillips LR, Rowlands AV.

J Sci Med Sport. 2013 Jan;16(1):40-4. doi: 10.1016/j.jsams.2012.05.012. Epub 2012 Jun 29.

PMID:
22749938
17.

Examination of different accelerometer cut-points for assessing sedentary behaviors in children.

Kim Y, Lee JM, Peters BP, Gaesser GA, Welk GJ.

PLoS One. 2014 Apr 3;9(4):e90630. doi: 10.1371/journal.pone.0090630. eCollection 2014.

18.

Comparability of measured acceleration from accelerometry-based activity monitors.

Rowlands AV, Fraysse F, Catt M, Stiles VH, Stanley RM, Eston RG, Olds TS.

Med Sci Sports Exerc. 2015 Jan;47(1):201-10. doi: 10.1249/MSS.0000000000000394.

PMID:
24870577
19.

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. doi: 10.1123/ijspp.2015-0712. Epub 2016 Aug 24.

PMID:
27002795
20.

Comparison of Sedentary Estimates between activPAL and Hip- and Wrist-Worn ActiGraph.

Koster A, Shiroma EJ, Caserotti P, Matthews CE, Chen KY, Glynn NW, Harris TB.

Med Sci Sports Exerc. 2016 Aug;48(8):1514-1522. doi: 10.1249/MSS.0000000000000924.

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