Van Bladel Anke, De Ridder Roel, Palmans Tanneke, Van der Looven Ruth, Cambier Dirk
Department of Rehabilitation Sciences, Ghent University, Ghent, Belgium.
Department of Physical and Rehabilitation Medicine, Ghent University Hospital, Ghent, Belgium.
Disabil Rehabil. 2023 Mar;45(6):1016-1021. doi: 10.1080/09638288.2022.2046875. Epub 2022 Mar 25.
Since self-paced treadmills enable more natural gait patterns compared to fixed-speed treadmills we examined the use of a self-paced treadmill as a alternative for overground gait analysis in persons after stroke.
Twenty-five persons after stroke (10 males/15 females; 53 ± 12.05 years; 40.72 ± 42.94 months post-stroke) walked at self-selected speed overground (GAITRite, CIR Systems) and on a self-paced treadmill (GRAIL, Motek) in randomized order. Spatiotemporal parameters, variability and symmetry measures were compared using paired-sample -tests or Wilcoxon Signed Rank tests. Concurrent validity was assessed using intraclass correlation coefficients and Bland-Altman plots. A regression model determined the contribution of the walking velocity to the changes in spatiotemporal parameters.
The velocity on the treadmill was significant lower compared to overground ( < 0.001). This difference predicted the significant changes in other spatiotemporal parameters to varying degrees (27.7%-83.8%). Bland-Altman plots showed large percentage of bias and limits of agreement. Variability and symmetry measures were similar between conditions.
When considering gait analysis in persons after stroke a self-paced treadmill may be a valuable alternative for overground analysis. Although a slower walking velocity, and accompanying changes in other spatiotemporal parameters, should be taken into account compared to overground walking.Implications for rehabilitationConsidering the advantages regarding space and time, instrumented treadmills provide opportunities for gait assessment and training in a stroke population.When using self-paced treadmills for clinical gait analysis in persons after stroke, the slower walking velocity and accompanying changes in other spatiotemporal parameters need to be taken into account.Stroke patients seem to preserve their walking pattern on a self-paced treadmill.
由于与固定速度跑步机相比,自定速度跑步机能够实现更自然的步态模式,因此我们研究了使用自定速度跑步机作为中风患者地面步态分析的替代方法。
25名中风患者(10名男性/15名女性;53±12.05岁;中风后40.72±42.94个月)以随机顺序在地面(GAITRite,CIR Systems)和自定速度跑步机(GRAIL,Motek)上以自我选择的速度行走。使用配对样本t检验或Wilcoxon符号秩检验比较时空参数、变异性和对称性测量值。使用组内相关系数和Bland-Altman图评估同时效度。回归模型确定步行速度对时空参数变化的贡献。
跑步机上的速度显著低于地面速度(<0.001)。这种差异在不同程度上预测了其他时空参数的显著变化(27.7%-83.8%)。Bland-Altman图显示偏差百分比和一致性界限较大。不同条件下的变异性和对称性测量值相似。
在考虑中风患者的步态分析时,自定速度跑步机可能是地面分析的一种有价值的替代方法。尽管与地面行走相比,应考虑较慢的步行速度以及其他时空参数的伴随变化。
康复意义
考虑到在空间和时间方面的优势,仪器化跑步机为中风人群的步态评估和训练提供了机会。
当使用自定速度跑步机对中风患者进行临床步态分析时,需要考虑较慢的步行速度以及其他时空参数的伴随变化。
中风患者似乎在自定速度跑步机上保持他们的行走模式。