Effects of Single-Variable Biofeedback on Wheelchair Handrim Biomechanics

Richter, W. Mark; Kwarciak, Andrew M.; Guo, Liyun; Turner, Jeffrey T.

doi:10.1016/j.apmr.2010.11.001

Cited by 27 publications

(51 citation statements)

References 16 publications

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“…contact angle, release angle) and temporal (i.e. push time, cadence) variables are influenced by propulsion technique and differences in upper extremity impairment (e.g., Newsam et al, 1996;Finley et al, 2004;Mulroy et al, 2004), training (e.g., Rodgers et al, 2001;Rice et al, 2010;Richter et al, 2011) and terrain (e.g., Newsam et al, 1996;Richter et al, 2007;Chow et al, 2009;Cowan et al, 2009). The wheelchair propulsion technique analyzed in this study was derived from representative spatiotemporal values (e.g., Richter, 2001;PVACSCM, 2005;Lin et al, 2009), but other techniques exist.…”

Section: Limitations and Future Workmentioning

confidence: 99%

A theoretical analysis of the influence of wheelchair seat position on upper extremity demand

Slowik¹,

Neptune²

2013

Clinical Biomechanics

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Section: Limitations and Future Workmentioning

confidence: 99%

A theoretical analysis of the influence of wheelchair seat position on upper extremity demand

Slowik¹,

Neptune²

2013

Clinical Biomechanics

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“…The remainder of the studies employed a repeated measures design, assessing the change in propulsion biomechanics following intervention with respect to pre-intervention 'control' biomechanical results [13,[15][16][17].…”

Section: Methodsmentioning

confidence: 99%

“…The remaining three studies provided both visual feedback and measured outcome during propulsion on an ergometer [15,17,18]. Four of the studies measured outcome during the intervention [13,15,17,18]. Three of the studies measured outcome immediately post intervention [13,14,16] and only one of the studies presented results from longer term (three months) follow up [14].…”

Section: Study Settingmentioning

confidence: 99%

“…DeGroot et al provided visual feedback during propulsion on an ergometer and measured outcome during both ergometer and over ground propulsion [16]. The remaining three studies provided both visual feedback and measured outcome during propulsion on an ergometer [15,17,18]. Four of the studies measured outcome during the intervention [13,15,17,18].…”

Section: Study Settingmentioning

confidence: 99%

“…The remaining studies investigated real time visual feedback focusing on a range of variables. Richter investigated the influence of single variable visual feedback including braking moment, push rate, push arc, push force, push distance and smoothness [15]. DeGroot provided visual feedback on push rate, push arc and push force [16] and Kotajarvi provided visual feedback on FEF, propulsion velocity and power output [17].…”

Section: Interventionmentioning

confidence: 99%

See 2 more Smart Citations

A systematic review: the influence of real time feedback on wheelchair propulsion biomechanics

Symonds

Barbareschi

Taylor

et al. 2017

Disability and Rehabilitation: Assistive Technology

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Background: Clinical guidelines recommend that, in order to minimize upper limb injury risk, wheelchair users adopt a semi-circular pattern with a slow cadence and a large push arc Objectives: To examine whether real time feedback can be used to influence manual wheelchair propulsion biomechanics.Review methods: Clinical trials and case series comparing the use of real time feedback against no feedback were included. A general review was performed and methodological quality assessed by two independent practitioners using the Downs and Black checklist. The review was completed in accordance with the PRISMA guidelines.Results: Six papers met the inclusion criteria. Selected studies involved 123 participants and analysed the effect of visual and, in one case, haptic feedback. Across the studies it was shown that participants were able to achieve significant changes in propulsion biomechanics, when provided with real time feedback.However, the effect of targeting a single propulsion variable might lead to unwanted alterations in other parameters. Methodological assessment identified weaknesses in external validity.Conclusions: Visual feedback could be used to consistently increase push arc and decrease push rate, and may be the best focus for feedback training. Further investigation is required to assess such intervention during outdoor propulsion.

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

Rankin

Kwarciak

Richter

et al. 2012

Clinical Biomechanics

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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.

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Effects of Single-Variable Biofeedback on Wheelchair Handrim Biomechanics

Cited by 27 publications

References 16 publications

A theoretical analysis of the influence of wheelchair seat position on upper extremity demand

A theoretical analysis of the influence of wheelchair seat position on upper extremity demand

A systematic review: the influence of real time feedback on wheelchair propulsion biomechanics

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

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