Drum rolling resistance consistently predicts SmartWheel rolling resistance and resultant force for manual wheelchair wheels and casters.

IF 2 Q3 ENGINEERING, BIOMEDICAL
Holly Wilson-Jene, Rachel Cowan, Rachel Post, Jon Pearlman
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Abstract

Introduction: Minimizing repetitive strain (RS) is a key recommendation from clinical practice guidelines for preservation of upper limb. Propulsion force, which is required to overcome wheel rolling resistance (RR), is a major source of RS. A drum-based RR test method has been developed but has not been directly validated against propulsion forces. A previous validation study compared Drum versus treadmill RR, with excellent consistency (intraclass correlation coefficient (ICC) = 0.94) and accuracy. Methods: Drum RR system estimates (N = 192) were compared to SmartWheel RR measurements and resultant force (Fres) for multiple wheelchair setups and surfaces. We hypothesized that Drum RR will consistently predict SmartWheel RR and Fres based on ICC and accuracy based on Bland Altman limits of agreement (LOA) and coefficient of determination (R2). Results: RR ICC = 0.966, 95%CI [0.955-0.975], mean difference between methods (4.2 N), and LOA [+/-5.5 N], which varied by surface. Drum RR explained 88% (R2) of SmartWheel RR variability. Drum RR prediction of Fres ICC = 0.83, 95%CI [0.77-0.87], explaining 60% of variability. Conclusions: Drum RR consistently predicts SmartWheel RR with excellent reliability and reasonable accuracy, and predicts Fres with good reliability and reasonable accuracy, reinforcing the validity of Drum RR for predicting system-level RR, and use guiding wheel selection to reduce RS.

Abstract Image

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滚筒滚动阻力始终预测智能轮滚动阻力和手动轮椅车轮和脚轮的合力。
最小化重复性劳损(RS)是保存上肢的临床实践指南的关键建议。克服车轮滚动阻力(RR)所需的推进力是车轮滚动阻力的主要来源,目前已经开发了一种基于鼓的RR测试方法,但尚未直接验证推进力的有效性。先前的一项验证研究比较了滚筒与跑步机的RR,具有良好的一致性(类内相关系数(ICC) = 0.94)和准确性。方法:将Drum RR系统估计值(N = 192)与SmartWheel RR测量值和多个轮椅设置和表面的合力(Fres)进行比较。我们假设Drum RR将基于ICC一致地预测SmartWheel RR和Fres,并基于Bland Altman一致极限(LOA)和决定系数(R2)的准确性。结果:RR ICC = 0.966, 95%CI[0.955 ~ 0.975],方法间平均差异(4.2 N), LOA [+/-5.5 N]因地表而异。鼓RR解释了SmartWheel RR变异的88% (R2)。Fres ICC的Drum RR预测= 0.83,95%CI[0.77-0.87],解释了60%的变异性。结论:Drum RR对SmartWheel RR的预测具有良好的可靠性和合理的准确性,对Fres的预测具有良好的可靠性和合理的准确性,增强了Drum RR预测系统级RR的有效性,可以利用导向轮的选择来降低RR。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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