Literature DB >> 19773798

Shoulder joint kinetics during wheelchair propulsion on a treadmill at two different speeds in spinal cord injury patients.

A Gil-Agudo1, A Del Ama-Espinosa, E Pérez-Rizo, S Pérez-Nombela, B Crespo-Ruiz.   

Abstract

STUDY
DESIGN: Prospective study using biomechanics patient data.
OBJECTIVES: To analyze shoulder joint kinetics while propelling a wheelchair placed on a treadmill and compare shoulder joint net forces and moments when changing the speed of wheelchair propulsion on the treadmill.
SETTING: National Hospital for Spinal Cord Injury, Toledo, Spain.
METHODS: Sixteen subjects with thoracic spinal cord injury participated. A kinematic analysis system consisting of four camcorders (Kinescan-IBV) and a kinetic device that registered the contact force of the hand on the pushrim (SMART(Wheel)) were used. The wheelchair was propelled at 3 and 4 km h(-1) without any ramp. An inverse dynamic model allowed shoulder joint net forces and moments to be calculated from the contact force of the hand on the pushrim and kinematic data.
RESULTS: Increasing propulsion speed increased most of the temporal parameters of propulsion and pushrim kinetics and shoulder joint net forces and moments. Compared with other studies that used an ergometer or dynamometer at the same speed, the magnitude of the shoulder joint net forces and moments elicited by wheelchair propulsion on the treadmill were lower than obtained by wheelchair propulsion on other devices.
CONCLUSION: Lower magnitude of shoulder joint forces and moments found on the treadmill may be due to the lower friction compared with the other devices reviewed. Shoulder joint forces and moments depended strongly on the propulsion speed, increasing in magnitude when speed increased from 3 to 4 km h(-1).

Entities:  

Mesh:

Year:  2009        PMID: 19773798     DOI: 10.1038/sc.2009.126

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


  12 in total

1.  Shoulder kinetics and ultrasonography changes after performing a high-intensity task in spinal cord injury subjects and healthy controls.

Authors:  A Gil-Agudo; M S Mozos; B Crespo-Ruiz; A J del-Ama; E Pérez-Rizo; A Segura-Fragoso; F Jiménez-Díaz
Journal:  Spinal Cord       Date:  2015-08-18       Impact factor: 2.772

2.  The influence of speed and grade on wheelchair propulsion hand pattern.

Authors:  Jonathan S Slowik; Philip S Requejo; Sara J Mulroy; Richard R Neptune
Journal:  Clin Biomech (Bristol, Avon)       Date:  2015-07-21       Impact factor: 2.063

3.  Biomechanical model for evaluation of pediatric upper extremity joint dynamics during wheelchair mobility.

Authors:  Alyssa J Schnorenberg; Brooke A Slavens; Mei Wang; Lawrence C Vogel; Peter A Smith; Gerald F Harris
Journal:  J Biomech       Date:  2013-11-20       Impact factor: 2.712

4.  Comparing handrim biomechanics for treadmill and overground wheelchair propulsion.

Authors:  A M Kwarciak; J T Turner; L Guo; W M Richter
Journal:  Spinal Cord       Date:  2010-11-02       Impact factor: 2.772

5.  Validation of a biofeedback system for wheelchair propulsion training.

Authors:  Liyun Guo; Andrew M Kwarciak; Russell Rodriguez; Nilanjan Sarkar; W Mark Richter
Journal:  Rehabil Res Pract       Date:  2011-10-05

6.  Evaluation of pediatric manual wheelchair mobility using advanced biomechanical methods.

Authors:  Brooke A Slavens; Alyssa J Schnorenberg; Christine M Aurit; Adam Graf; Joseph J Krzak; Kathryn Reiners; Lawrence C Vogel; Gerald F Harris
Journal:  Biomed Res Int       Date:  2015-02-23       Impact factor: 3.411

7.  Echographic and kinetic changes in the shoulder joint after manual wheelchair propulsion under two different workload settings.

Authors:  Ángel Gil-Agudo; Marta Solís-Mozos; Beatriz Crespo-Ruiz; Antonio J Del-Ama Eng; Enrique Pérez-Rizo; Antonio Segura-Fragoso; Fernando Jiménez-Díaz
Journal:  Front Bioeng Biotechnol       Date:  2014-12-23

8.  Modeling manual wheelchair propulsion cost during straight and curvilinear trajectories.

Authors:  Jacob Misch; Morris Huang; Stephen Sprigle
Journal:  PLoS One       Date:  2020-06-18       Impact factor: 3.240

9.  A Systematic Methodology to Analyze the Impact of Hand-Rim Wheelchair Propulsion on the Upper Limb.

Authors:  Blanca Larraga-García; Vicente Lozano-Berrio; Álvaro Gutiérrez; Ángel Gil-Agudo; Antonio J Del-Ama
Journal:  Sensors (Basel)       Date:  2019-10-25       Impact factor: 3.576

10.  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

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