Literature DB >> 23249722

Detection of physical activity types using triaxial accelerometers.

Jørgen Skotte1, Mette Korshøj, Jesper Kristiansen, Christiana Hanisch, Andreas Holtermann.   

Abstract

BACKGROUND: The aim of this study was to validate a triaxial accelerometer setup for identifying everyday physical activity types (ie, sitting, standing, walking, walking stairs, running, and cycling).
METHODS: Seventeen subjects equipped with triaxial accelerometers (ActiGraph GT3X+) at the thigh and hip carried out a standardized test procedure including walking, running, cycling, walking stairs, sitting, and standing still. A method was developed (Acti4) to discriminate between these physical activity types based on threshold values of standard deviation of acceleration and the derived inclination. Moreover, the ability of the accelerometer placed at the thigh to detect sitting posture was separately validated during free living by comparison with recordings of pressure sensors in the hip pockets.
RESULTS: Sensitivity for discriminating between the physical activity types sitting, standing, walking, running, and cycling in the standardized trials were 99%-100% and 95% for walking stairs. Specificity was higher than 99% for all activities. During free living (140 hours of measurements), sensitivity and specificity for detection of sitting posture were 98% and 93%, respectively.
CONCLUSION: The developed method for detecting physical activity types showed a high sensitivity and specificity for sitting, standing, walking, running, walking stairs, and cycling in a standardized setting and for sitting posture during free living.

Mesh:

Year:  2012        PMID: 23249722     DOI: 10.1123/jpah.2011-0347

Source DB:  PubMed          Journal:  J Phys Act Health        ISSN: 1543-3080


  126 in total

1.  Deviation between self-reported and measured occupational physical activity levels in office employees: effects of age and body composition.

Authors:  Katharina Wick; Oliver Faude; Susanne Schwager; Lukas Zahner; Lars Donath
Journal:  Int Arch Occup Environ Health       Date:  2015-10-28       Impact factor: 3.015

2.  Association between objectively measured sitting time and neck-shoulder pain among blue-collar workers.

Authors:  David M Hallman; Nidhi Gupta; Svend Erik Mathiassen; Andreas Holtermann
Journal:  Int Arch Occup Environ Health       Date:  2015-02-13       Impact factor: 3.015

3.  Are occupational physical activities tailored to the age of cleaners and manufacturing workers?

Authors:  Jodi Oakman; Els Clays; Marie Birk Jørgensen; Andreas Holtermann
Journal:  Int Arch Occup Environ Health       Date:  2018-10-29       Impact factor: 3.015

4.  Activity and Sedentary Time 10 Years After a Successful Lifestyle Intervention: The Diabetes Prevention Program.

Authors:  Bonny Rockette-Wagner; Kristi L Storti; Dana Dabelea; Sharon Edelstein; Hermes Florez; Paul W Franks; Maria G Montez; Jeremy Pomeroy; Andrea M Kriska
Journal:  Am J Prev Med       Date:  2016-11-22       Impact factor: 5.043

5.  SenseWearMini and Actigraph GT3X Accelerometer Classification of Observed Sedentary and Light-Intensity Physical Activities in a Laboratory Setting.

Authors:  Lynne M Feehan; Charles H Goldsmith; April Y F Leung; Linda C Li
Journal:  Physiother Can       Date:  2016       Impact factor: 1.037

6.  Correlation between the Oswestry Disability Index and objective measurements of walking capacity and performance in patients with lumbar spinal stenosis: a systematic literature review.

Authors:  Annette Bennedsgaard Jespersen; Malin Eleonora Av Kák Gustafsson
Journal:  Eur Spine J       Date:  2018-03-05       Impact factor: 3.134

7.  The joint association of musculoskeletal pain and domains of physical activity with sleep problems: cross-sectional data from the DPhacto study, Denmark.

Authors:  Eivind Schjelderup Skarpsno; Paul Jarle Mork; Tom Ivar Lund Nilsen; Marie Birk Jørgensen; Andreas Holtermann
Journal:  Int Arch Occup Environ Health       Date:  2018-11-19       Impact factor: 3.015

8.  Using Activity Monitors to Measure Sit-to-Stand Transitions in Overweight/Obese Youth.

Authors:  Tarrah Mitchell; Kelsey Borner; Jonathan Finch; Jacqueline Kerr; Jordan A Carlson
Journal:  Med Sci Sports Exerc       Date:  2017-08       Impact factor: 5.411

9.  Is aerobic workload positively related to ambulatory blood pressure? A cross-sectional field study among cleaners.

Authors:  Mette Korshøj; Els Clays; Mark Lidegaard; Jørgen H Skotte; Andreas Holtermann; Peter Krustrup; Karen Søgaard
Journal:  Eur J Appl Physiol       Date:  2015-09-12       Impact factor: 3.078

10.  Does Site Matter? Impact of Inertial Measurement Unit Placement on the Validity and Reliability of Stride Variables During Running: A Systematic Review and Meta-analysis.

Authors:  Benjamin J Horsley; Paul J Tofari; Shona L Halson; Justin G Kemp; Jessica Dickson; Nirav Maniar; Stuart J Cormack
Journal:  Sports Med       Date:  2021-03-24       Impact factor: 11.136

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