Literature DB >> 20593329

Construct validity of RT3 accelerometer: a comparison of level-ground and treadmill walking at self-selected speeds.

Paul Hendrick1, Thalia Boyd, Oliver Low, Kylie Takarangi, Mike Paterson, Leica Claydon, Steve Milosavljevic.   

Abstract

This study examined differences in accelerometer output when subjects walked on level ground and on a treadmill. We asked 25 nondisabled participants to wear an RT3 triaxial accelerometer (StayHealthy, Inc; Monrovia, California) and walk at their "normal" and "brisk" walking speeds for 10 minutes. These activities were repeated on a treadmill using the individual speeds from level-ground walking on two occasions 1 week apart. Paired t-tests found a difference in RT3 accelerometer vector magnitude (VM) counts/min between the two walking speeds on both surfaces on days 1 and 2 (p < 0.001). Although we found no significant differences between VM counts/min on the two surfaces at normal and brisk speeds on days 1 and 2 (p > 0.05), we found wide limits of agreement between level ground and treadmill walking at both speeds. Measurement and discrimination of walking intensity employing RT3 accelerometer VM counts/min on the treadmill demonstrated reasonable validity and stability over two time points compared with level-ground walking.

Entities:  

Mesh:

Year:  2010        PMID: 20593329     DOI: 10.1682/jrrd.2009.04.0047

Source DB:  PubMed          Journal:  J Rehabil Res Dev        ISSN: 0748-7711


  6 in total

1.  The validity of activity trackers is affected by walking speed: the criterion validity of Garmin Vivosmart® HR and StepWatch 3 for measuring steps at various walking speeds under controlled conditions.

Authors:  Frederik Rose Svarre; Mads Møller Jensen; Josephine Nielsen; Morten Villumsen
Journal:  PeerJ       Date:  2020-07-14       Impact factor: 2.984

2.  Concurrent validity of accelerations measured using a tri-axial inertial measurement unit while walking on firm, compliant and uneven surfaces.

Authors:  Michael H Cole; Wolbert van den Hoorn; Justin K Kavanagh; Steven Morrison; Paul W Hodges; James E Smeathers; Graham K Kerr
Journal:  PLoS One       Date:  2014-05-27       Impact factor: 3.240

3.  Different location of triaxial accelerometer and different energy expenditures.

Authors:  Do Yoon Kim; Yoo-Suk Jung; Rae-Woong Park; Nam-Seok Joo
Journal:  Yonsei Med J       Date:  2014-07       Impact factor: 2.759

4.  Use of a Collar-Mounted Triaxial Accelerometer to Predict Speed and Gait in Dogs.

Authors:  Samantha Bolton; Nick Cave; Naomi Cogger; G R Colborne
Journal:  Animals (Basel)       Date:  2021-04-27       Impact factor: 2.752

5.  Wearable sensors to predict improvement following an exercise intervention in patients with knee osteoarthritis.

Authors:  Dylan Kobsar; Sean T Osis; Jeffrey E Boyd; Blayne A Hettinga; Reed Ferber
Journal:  J Neuroeng Rehabil       Date:  2017-09-12       Impact factor: 4.262

6.  The energy expenditure of people with spinal cord injury whilst walking compared to an able-bodied population.

Authors:  Jana Vosloo; M Veronica Ntsiea; Piet Becker
Journal:  S Afr J Physiother       Date:  2016-03-31
  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.