Literature DB >> 22260902

Biomechanical examination of the 'plateau phenomenon' in ActiGraph vertical activity counts.

Dinesh John1, Ross Miller, Sarah Kozey-Keadle, Graham Caldwell, Patty Freedson.   

Abstract

This paper determines if the leveling off ('plateau/inverted-U' phenomenon) of vertical ActiGraph activity counts during running at higher speeds is attributable to the monitor's signal filtering and acceleration detection characteristics. Ten endurance-trained male participants (mean (SD) age = 28.2 (4.7) years) walked at 3, 5 and 7 km h(-1), and ran at 8, 10, 12, 14, 16, 18 and 20 km h(-1) on a force treadmill while wearing an ActiGraph GT3X monitor at the waist. Triaxial accelerations of the body's center of mass (CoM) and frequency content of these accelerations were computed from the force treadmill data. GT3X vertical activity counts demonstrated the expected 'plateau/inverted-U' phenomenon. In contrast, vertical CoM accelerations increased with increasing speed (1.32 ± 0.26 g at 10 km h(-1) and 1.68 ± 0.24 g at 20 km h(-1)). The dominant frequency in the CoM acceleration signals increased with running speed (14.8 ± 3.2 Hz at 10 km h(-1) and 24.8 ± 3.2 Hz at 20 km h(-1)) and lay beyond the ActiGraph band-pass filter (0.25 to 2.5 Hz) limits. In conclusion, CoM acceleration magnitudes during walking and running lie within the ActiGraph monitor's dynamic acceleration detecting capability. Acceleration signals of higher frequencies that are eliminated by the ActiGraph band-pass filter may be necessary to distinguish among exercise intensity at higher running speeds.

Entities:  

Mesh:

Year:  2012        PMID: 22260902      PMCID: PMC3392095          DOI: 10.1088/0967-3334/33/2/219

Source DB:  PubMed          Journal:  Physiol Meas        ISSN: 0967-3334            Impact factor:   2.833


  22 in total

1.  Relationship between vertical ground reaction force and speed during walking, slow jogging, and running.

Authors:  T S Keller; A M Weisberger; J L Ray; S S Hasan; R G Shiavi; D M Spengler
Journal:  Clin Biomech (Bristol, Avon)       Date:  1996-07       Impact factor: 2.063

2.  Reexamination of validity and reliability of the CSA monitor in walking and running.

Authors:  Søren Brage; Niels Wedderkopp; Paul W Franks; Lars Bo Andersen; Karsten Froberg
Journal:  Med Sci Sports Exerc       Date:  2003-08       Impact factor: 5.411

3.  Estimation of oxygen uptake during fast running using accelerometry and heart rate.

Authors:  Barry W Fudge; John Wilson; Chris Easton; Laura Irwin; Jonathan Clark; Olivia Haddow; Bengt Kayser; Yannis P Pitsiladis
Journal:  Med Sci Sports Exerc       Date:  2007-01       Impact factor: 5.411

4.  Comparing the performance of three generations of ActiGraph accelerometers.

Authors:  Megan P Rothney; Gregory A Apker; Yanna Song; Kong Y Chen
Journal:  J Appl Physiol (1985)       Date:  2008-07-17

5.  Ground reaction forces in running: a reexamination.

Authors:  C F Munro; D I Miller; A J Fuglevand
Journal:  J Biomech       Date:  1987       Impact factor: 2.712

6.  Comparison of the ActiGraph 7164 and the ActiGraph GT1M during self-paced locomotion.

Authors:  Sarah L Kozey; John W Staudenmayer; Richard P Troiano; Patty S Freedson
Journal:  Med Sci Sports Exerc       Date:  2010-05       Impact factor: 5.411

7.  Fourier analysis of forces exerted in walking and running.

Authors:  R M Alexander; A S Jayes
Journal:  J Biomech       Date:  1980       Impact factor: 2.712

8.  Physical activity in the United States measured by accelerometer.

Authors:  Richard P Troiano; David Berrigan; Kevin W Dodd; Louise C Mâsse; Timothy Tilert; Margaret McDowell
Journal:  Med Sci Sports Exerc       Date:  2008-01       Impact factor: 5.411

9.  Changes in leg movements and muscle activity with speed of locomotion and mode of progression in humans.

Authors:  J Nilsson; A Thorstensson; J Halbertsma
Journal:  Acta Physiol Scand       Date:  1985-04

10.  Development of postural control of gravity forces in children during the first 5 years of walking.

Authors:  Y Brenière; B Bril
Journal:  Exp Brain Res       Date:  1998-08       Impact factor: 1.972

View more
  14 in total

1.  Modifying Accelerometer Cut-Points Affects Criterion Validity in Simulated Free-Living for Adolescents and Adults.

Authors:  Paul R Hibbing; David R Bassett; Scott E Crouter
Journal:  Res Q Exerc Sport       Date:  2020-02-05       Impact factor: 2.500

2.  An Open-Source Monitor-Independent Movement Summary for Accelerometer Data Processing.

Authors:  Dinesh John; Qu Tang; Fahd Albinali; Stephen Intille
Journal:  J Meas Phys Behav       Date:  2019-12

3.  Comparison of raw acceleration from the GENEA and ActiGraph™ GT3X+ activity monitors.

Authors:  Dinesh John; Jeffer Sasaki; John Staudenmayer; Marianna Mavilia; Patty S Freedson
Journal:  Sensors (Basel)       Date:  2013-10-30       Impact factor: 3.576

4.  Design and Evaluation of a Computer-Based 24-Hour Physical Activity Recall (cpar24) Instrument.

Authors:  Simone Kohler; Gundula Behrens; Matthias Olden; Sebastian E Baumeister; Alexander Horsch; Beate Fischer; Michael F Leitzmann
Journal:  J Med Internet Res       Date:  2017-05-30       Impact factor: 5.428

5.  "What Is a Step?" Differences in How a Step Is Detected among Three Popular Activity Monitors That Have Impacted Physical Activity Research.

Authors:  Dinesh John; Alvin Morton; Diego Arguello; Kate Lyden; David Bassett
Journal:  Sensors (Basel)       Date:  2018-04-15       Impact factor: 3.576

Review 6.  Accelerometer Data Collection and Processing Criteria to Assess Physical Activity and Other Outcomes: A Systematic Review and Practical Considerations.

Authors:  Jairo H Migueles; Cristina Cadenas-Sanchez; Ulf Ekelund; Christine Delisle Nyström; Jose Mora-Gonzalez; Marie Löf; Idoia Labayen; Jonatan R Ruiz; Francisco B Ortega
Journal:  Sports Med       Date:  2017-09       Impact factor: 11.136

7.  High-intensity activity is more strongly associated with metabolic health in children compared to sedentary time: a cross-sectional study of the I.Family cohort.

Authors:  Jonatan Fridolfsson; Christoph Buck; Monica Hunsberger; Joanna Baran; Fabio Lauria; Denes Molnar; Luis A Moreno; Mats Börjesson; Lauren Lissner; Daniel Arvidsson
Journal:  Int J Behav Nutr Phys Act       Date:  2021-07-06       Impact factor: 6.457

8.  Convergent validity of ActiGraph and Actical accelerometers for estimating physical activity in adults.

Authors:  Scott Duncan; Tom Stewart; Mikkel Bo Schneller; Suneeta Godbole; Kelli Cain; Jacqueline Kerr
Journal:  PLoS One       Date:  2018-06-12       Impact factor: 3.240

9.  Physical activity and sedentary behavior during pregnancy and postpartum, measured using hip and wrist-worn accelerometers.

Authors:  Kathryn R Hesketh; Kelly R Evenson; Marissa Stroo; Shayna M Clancy; Truls Østbye; Sara E Benjamin-Neelon
Journal:  Prev Med Rep       Date:  2018-04-19

10.  Physical activity, sedentary behavior, and long-term cardiovascular risk in young people: A review and discussion of methodology in prospective studies.

Authors:  Jakob Tarp; Jan Christian Brønd; Lars Bo Andersen; Niels Christian Møller; Karsten Froberg; Anders Grøntved
Journal:  J Sport Health Sci       Date:  2016-04-01       Impact factor: 7.179

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.