Literature DB >> 20856261

Development and validation of a physical activity monitor for use on a wheelchair.

E H Coulter1, P M Dall, L Rochester, J P Hasler, M H Granat.   

Abstract

STUDY
DESIGN: Keeping physically active is important for people who mobilize using a wheelchair. However, current tools to measure physical activity in the wheelchair are either not validated or limited in their application. The purpose of this study was to develop and validate a monitoring system to measure wheelchair movement.
METHODS: The system developed consisted of a tri-axial accelerometer placed on the wheel of a wheelchair and an analysis algorithm to interpret the acceleration signals. The two accelerometer outputs in the plane of the wheel were used to calculate the angle of the wheel. From this, outcome measures of wheel revolutions, absolute angle and duration of movement were derived and the direction of movement (forwards or backwards) could be distinguished. Concurrent validity was assessed in comparison with video analysis in 14 people with spinal cord injury using their wheelchair on an indoor track and outdoor wheelchair skills course. Validity was assessed using intraclass correlation coefficients (ICC(2,1)) and Bland-Altman plots.
RESULTS: The monitoring system demonstrated excellent validity for wheel revolutions, absolute angle and duration of movement (ICC(2,1)>0.999, 0.999, 0.981, respectively) in both manual and powered wheelchairs, when the wheelchair was propelled forwards and backwards, and for movements of various durations.
CONCLUSION: This study has found this monitoring system to be an accurate and objective tool for measuring detailed information on wheelchair movement and maneuvering regardless of the propulsion technique, direction and speed.

Entities:  

Mesh:

Year:  2010        PMID: 20856261     DOI: 10.1038/sc.2010.126

Source DB:  PubMed          Journal:  Spinal Cord        ISSN: 1362-4393            Impact factor:   2.772


  14 in total

1.  Development and evaluation of a gyroscope-based wheel rotation monitor for manual wheelchair users.

Authors:  Shivayogi V Hiremath; Dan Ding; Rory A Cooper
Journal:  J Spinal Cord Med       Date:  2013-07       Impact factor: 1.985

2.  A novel mobile-cloud system for capturing and analyzing wheelchair maneuvering data: A pilot study.

Authors:  Jicheng Fu; Maria Jones; Tao Liu; Wei Hao; Yuqing Yan; Gang Qian; Yih-Kuen Jan
Journal:  Assist Technol       Date:  2016

3.  Validity of the Apple Watch® for monitoring push counts in people using manual wheelchairs.

Authors:  Kati S Karinharju; Alexandra M Boughey; Sean M Tweedy; Kelly M Clanchy; Stewart G Trost; Sjaan R Gomersall
Journal:  J Spinal Cord Med       Date:  2019-02-27       Impact factor: 1.985

4.  Characterization of wheelchair maneuvers based on noisy inertial sensor data: a preliminary study.

Authors:  Jicheng Fu; Tao Liu; Maria Jones; Gang Qian; Yih-Kuen Jan
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2014

5.  Telehealth monitor to measure physical activity and pressure relief maneuver performance in wheelchair users.

Authors:  Ariel V Dowling; Valerie Eberly; Somboon Maneekobkunwong; Sara J Mulroy; Philip S Requejo; Joseph T Gwin
Journal:  Assist Technol       Date:  2016-09-29

6.  Validation of an activity monitor for children who are partly or completely wheelchair-dependent.

Authors:  Carla Fj Nooijen; Janke F de Groot; Henk J Stam; Rita Jg van den Berg-Emons; Hans Bj Bussmann
Journal:  J Neuroeng Rehabil       Date:  2015-02-06       Impact factor: 4.262

7.  Influence of accelerometer type and placement on physical activity energy expenditure prediction in manual wheelchair users.

Authors:  Tom Edward Nightingale; Jean-Philippe Walhin; Dylan Thompson; James Lee John Bilzon
Journal:  PLoS One       Date:  2015-05-08       Impact factor: 3.240

8.  Is Fitbit Charge 2 a feasible instrument to monitor daily physical activity and handbike training in persons with spinal cord injury? A pilot study.

Authors:  M C Maijers; O Verschuren; J M Stolwijk-Swüste; C F van Koppenhagen; S de Groot; M W M Post
Journal:  Spinal Cord Ser Cases       Date:  2018-09-11

9.  Temporal parameters estimation for wheelchair propulsion using wearable sensors.

Authors:  Manoela Ojeda; Dan Ding
Journal:  Biomed Res Int       Date:  2014-07-03       Impact factor: 3.411

10.  A study on effects of backrest thickness on the upper arm and trunk muscle load during wheelchair propulsion.

Authors:  Joo-Hyun Lee; In-Gyu Yoo
Journal:  J Phys Ther Sci       Date:  2016-05-31
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.