行走表面会影响使用压力感应鞋垫获得的垂直地面反作用力和压力中心数据。

IF 3.2 Q1 HEALTH CARE SCIENCES & SERVICES Frontiers in digital health Pub Date : 2024-11-08 eCollection Date: 2024-01-01 DOI:10.3389/fdgth.2024.1476335
Elke Warmerdam, Lea-Marie Burger, Diana F Mergen, Marcel Orth, Tim Pohlemann, Bergita Ganse
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引用次数: 0

摘要

背景:步态可通过压力传感鞋垫的垂直地面反作用力(VGRF)和压力中心(COP)测量进行连续监测。在日常生活中,会遇到各种各样的行走表面,这可能会影响所收集的数据。在分析与疾病或损伤相关的步态特征时,可能需要考虑到这些影响,以防止误读,尤其是在从临床人群中获得的数据中得出结论时。我们假设健康参与者在不同路面行走时,鞋垫衍生的 VGRF 和 COP 参数会发生特征性变化:方法:参与者在平坦的室内地面、平坦和倾斜的室外地面以及森林、砾石、草地和沙地表面行走,同时穿戴压力传感鞋垫,每个鞋垫有 16 个压力传感器,记录频率为 100 Hz。从 VGRF 和 COP 数据中提取了几个步态参数,并使用重复测量方差分析对不同地面进行了比较:共有 30 名参与者(22 名女性和 7 名男性,年龄为 30 ± 12 岁,身高为 172 ± 8 厘米,体重为 76 ± 23 千克)。VGRF 和 COP 数据受表面类型的显著影响。rmANOVA显示,在所有计算参数上,不同行走表面之间存在明显的受试者内差异。在上坡和下坡行走时,VGRF 和 COP 模式的变化最大。在顺应性地面上行走导致步态变异性增加。在沙地上行走的变异性最大。从室内步行到室外,无论是在平坦、倾斜、森林、碎石、草地还是沙地上,VGRF 步态相位曲线都会发生特征性变化。根据这些特征变化,可以确定某人是在斜坡上行走,还是在非顺应性或顺应性地面上行走,但很难区分不同类型的顺应性地面:结论:VGRF 数据受健康成年人行走地面类型的影响。在斜坡上行走会影响 VGRF 和 COP 参数,此外,地面的顺应性也会增加它们的变异性。在分析日常生活中通过鞋垫测量的步态数据时,我们建议根据地面类型进行校正,以降低变异性。
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The walking surface influences vertical ground reaction force and centre of pressure data obtained with pressure-sensing insoles.

Background: Gait can be continuously monitored via vertical ground reaction force (VGRF) and centre of pressure (COP) measurement with pressure-sensing insoles. During daily living, a variety of walking surfaces will be encountered, which could affect the collected data. These effects might need to be taken into account when analysing disease- or injury-related gait characteristics to prevent misinterpretation, especially when drawing conclusions from data obtained in clinical populations. We hypothesized characteristic changes in insole-derived VGRF and COP parameters of healthy participants when walking on different surfaces.

Methods: Participants walked on flat indoor surface, flat and inclined outdoor surfaces, as well as on forest, gravel, grass, and sand surfaces while wearing pressure-sensing insoles with 16 pressure sensors each at a recording frequency of 100 Hz. Several gait parameters were extracted from the VGRF and COP data, and were compared between surfaces using repeated measures ANOVA.

Results: Thirty participants were included (22 women and 7 men, age 30 ± 12 years, height 172 ± 8 cm, weight 76 ± 23 kg). VGRF and COP data were significantly influenced by the type of surface. The rmANOVA revealed significant within-subject differences between the walking surfaces in all calculated parameters. The largest changes in the VGRF and COP patterns occurred during uphill and downhill walking. Walking on compliant surfaces led to increased gait variability. The highest variability was observed when walking on sand. The change from walking indoors to outdoors, be it on flat, inclined, forest, gravel, grass or sand surfaces, was characterized by a characteristic change in the VGRF stance-phase curve. Based on these characteristic changes, it could be possible to identify whether someone is walking on a slope, as well as on non-compliant or compliant surfaces, while it is difficult to distinguish between different types of compliant surfaces.

Conclusion: VGRF data are affected by the type of walking surface in healthy adults. Walking on a slope affects VGRF and COP parameters, and in addition, the compliance of the surface increases their variability. When analysing gait data measured via insoles during daily living, we recommend to correct for the surface type to decrease variability.

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