Literature DB >> 22835860

The influence of wheelchair propulsion technique on upper extremity muscle demand: a simulation study.

Jeffery W Rankin1, Andrew M Kwarciak, W Mark Richter, Richard R Neptune.   

Abstract

BACKGROUND: The majority of manual wheelchair users will experience upper extremity injuries or pain, in part due to the high force requirements, repetitive motion and extreme joint postures associated with wheelchair propulsion. Recent studies have identified cadence, contact angle and peak force as important factors for reducing upper extremity demand during propulsion. However, studies often make comparisons between populations (e.g., able-bodied vs. paraplegic) or do not investigate specific measures of upper extremity demand. The purpose of this study was to use a musculoskeletal model and forward dynamics simulations of wheelchair propulsion to investigate how altering cadence, peak force and contact angle influence individual muscle demand.
METHODS: Forward dynamics simulations of wheelchair propulsion were generated to emulate group-averaged experimental data during four conditions: 1) self-selected propulsion technique, and while 2) minimizing cadence, 3) maximizing contact angle, and 4) minimizing peak force using biofeedback. Simulations were used to determine individual muscle mechanical power and stress as measures of muscle demand.
RESULTS: Minimizing peak force and cadence had the lowest muscle power requirements. However, minimizing peak force increased cadence and recovery power, while minimizing cadence increased average muscle stress. Maximizing contact angle increased muscle stress and had the highest muscle power requirements.
INTERPRETATION: Minimizing cadence appears to have the most potential for reducing muscle demand and fatigue, which could decrease upper extremity injuries and pain. However, altering any of these variables to extreme values appears to be less effective; instead small to moderate changes may better reduce overall muscle demand.
Copyright © 2012 Elsevier Ltd. All rights reserved.

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Year:  2012        PMID: 22835860      PMCID: PMC3444526          DOI: 10.1016/j.clinbiomech.2012.07.002

Source DB:  PubMed          Journal:  Clin Biomech (Bristol, Avon)        ISSN: 0268-0033            Impact factor:   2.063


  44 in total

1.  The effect of seat position on manual wheelchair propulsion biomechanics: a quasi-static model-based approach.

Authors:  W M Richter
Journal:  Med Eng Phys       Date:  2001-12       Impact factor: 2.242

2.  Hand rim configuration: effects on physical strain and technique in unimpaired subjects?

Authors:  L H V van der Woude; M Formanoy; S de Groot
Journal:  Med Eng Phys       Date:  2003-11       Impact factor: 2.242

3.  Hand rim wheelchair propulsion training using biomechanical real-time visual feedback based on motor learning theory principles.

Authors:  Ian Rice; Dany Gagnon; Jere Gallagher; Michael Boninger
Journal:  J Spinal Cord Med       Date:  2010       Impact factor: 1.985

4.  A model of the upper extremity for simulating musculoskeletal surgery and analyzing neuromuscular control.

Authors:  Katherine R S Holzbaur; Wendy M Murray; Scott L Delp
Journal:  Ann Biomed Eng       Date:  2005-06       Impact factor: 3.934

5.  Is effective force application in handrim wheelchair propulsion also efficient?

Authors:  D J J Bregman; S van Drongelen; H E J Veeger
Journal:  Clin Biomech (Bristol, Avon)       Date:  2008-11-06       Impact factor: 2.063

6.  The influence of altering push force effectiveness on upper extremity demand during wheelchair propulsion.

Authors:  Jeffery W Rankin; Andrew M Kwarciak; W Mark Richter; Richard R Neptune
Journal:  J Biomech       Date:  2010-08-02       Impact factor: 2.712

7.  Glenohumeral contact forces and muscle forces evaluated in wheelchair-related activities of daily living in able-bodied subjects versus subjects with paraplegia and tetraplegia.

Authors:  Stefan van Drongelen; Lucas H van der Woude; Thomas W Janssen; Edmond L Angenot; Edward K Chadwick; Dirkjan H Veeger
Journal:  Arch Phys Med Rehabil       Date:  2005-07       Impact factor: 3.966

8.  Effect of push frequency and strategy variations on economy and perceived exertion during wheelchair propulsion.

Authors:  Victoria Louise Goosey-Tolfrey; Jennifer Helen Kirk
Journal:  Eur J Appl Physiol       Date:  2003-07-09       Impact factor: 3.078

9.  Effects of spinal cord injury level on the activity of shoulder muscles during wheelchair propulsion: an electromyographic study.

Authors:  Sara J Mulroy; Shawn Farrokhi; Craig J Newsam; Jacquelin Perry
Journal:  Arch Phys Med Rehabil       Date:  2004-06       Impact factor: 3.966

10.  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

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  14 in total

1.  Sensewheel: an adjunct to wheelchair skills training.

Authors:  Andrew Symonds; Stephen J G Taylor; Catherine Holloway
Journal:  Healthc Technol Lett       Date:  2016-12-15

2.  Predictors of shoulder pain in manual wheelchair users.

Authors:  Shelby L Walford; Philip S Requejo; Sara J Mulroy; Richard R Neptune
Journal:  Clin Biomech (Bristol, Avon)       Date:  2019-03-06       Impact factor: 2.063

3.  Effects of intramuscular trunk stimulation on manual wheelchair propulsion mechanics in 6 subjects with spinal cord injury.

Authors:  Ronald J Triolo; Stephanie Nogan Bailey; Lisa M Lombardo; Michael E Miller; Kevin Foglyano; Musa L Audu
Journal:  Arch Phys Med Rehabil       Date:  2013-04-26       Impact factor: 3.966

4.  Variability of peak shoulder force during wheelchair propulsion in manual wheelchair users with and without shoulder pain.

Authors:  Y Moon; C Jayaraman; I M K Hsu; I M Rice; E T Hsiao-Wecksler; J J Sosnoff
Journal:  Clin Biomech (Bristol, Avon)       Date:  2013-10-12       Impact factor: 2.063

Review 5.  Instruments and techniques for the analysis of wheelchair propulsion and upper extremity involvement in patients with spinal cord injuries: current concept review.

Authors:  Fabio Dellabiancia; Giuseppe Porcellini; Giovanni Merolla
Journal:  Muscles Ligaments Tendons J       Date:  2013-08-11

6.  The influence of wheelchair propulsion hand pattern on upper extremity muscle power and stress.

Authors:  Jonathan S Slowik; Philip S Requejo; Sara J Mulroy; Richard R Neptune
Journal:  J Biomech       Date:  2016-03-25       Impact factor: 2.712

7.  Compensatory strategies during manual wheelchair propulsion in response to weakness in individual muscle groups: A simulation study.

Authors:  Jonathan S Slowik; Jill L McNitt-Gray; Philip S Requejo; Sara J Mulroy; Richard R Neptune
Journal:  Clin Biomech (Bristol, Avon)       Date:  2016-02-18       Impact factor: 2.063

8.  A comparison of static and dynamic optimization muscle force predictions during wheelchair propulsion.

Authors:  Melissa M Morrow; Jeffery W Rankin; Richard R Neptune; Kenton R Kaufman
Journal:  J Biomech       Date:  2014-09-23       Impact factor: 2.712

9.  Shoulder pain and cycle to cycle kinematic spatial variability during recovery phase in manual wheelchair users: a pilot investigation.

Authors:  Chandrasekaran Jayaraman; Yaejin Moon; Ian M Rice; Elizabeth T Hsiao Wecksler; Carolyn L Beck; Jacob J Sosnoff
Journal:  PLoS One       Date:  2014-03-10       Impact factor: 3.240

10.  Estimation of manual wheelchair-based activities in the free-living environment using a neural network model with inertial body-worn sensors.

Authors:  Emma Fortune; Beth A Cloud-Biebl; Stefan I Madansingh; Che G Ngufor; Meegan G Van Straaten; Brianna M Goodwin; Dennis H Murphree; Kristin D Zhao; Melissa M Morrow
Journal:  J Electromyogr Kinesiol       Date:  2019-07-17       Impact factor: 2.368

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