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用于测量行走过程中地面反作用力和压力中心的3D打印鞋垫

3D-Printed Insole for Measuring Ground Reaction Force and Center of Pressure During Walking.

作者信息

Vu Le Tung, Bottin-Noonan Joel, Armitage Lucy, Alici Gursel, Sreenivasa Manish

机构信息

School of Mechanical, Materials, Mechatronic and Biomedical Engineering, Faculty of Engineering and Information Sciences, University of Wollongong, Wollongong, NSW 2522, Australia.

出版信息

Sensors (Basel). 2025 Apr 17;25(8):2524. doi: 10.3390/s25082524.

Abstract

Ground reaction force (GRF) and center of pressure (COP) during walking are two important measures that could be used in a range of applications, from the control of devices such as exoskeletons to clinical assessments. Recording these measures requires fixed laboratory equipment such as force plates or expensive portable insoles. We present an alternative approach by developing a 3D-printed insole that uses pneumatic chambers and pressure sensors to estimate the net GRF and the anterior-posterior COP position. The intentionally simple design, using just two pneumatic chambers, can be fabricated using standard 3D printing technology and readily available soft materials. We used experimentally recorded data from a motion capture system along with parameter identification techniques to characterize and validate the insole while walking at different speeds. Our results showed that the insole was capable of withstanding repeated loading during walking-up to 1.2 times the body weight-and possessed a bandwidth high enough to capture gait dynamics. The identified models could estimate the GRF and the anterior-posterior COP position with less than 9% error. These results compare favourably with those of commercially available instrumented insoles and can be obtained at a fraction of their cost. This low-cost yet effective solution could assist in applications where it is important to record gait outside of laboratory conditions, but the cost of commercial solutions is prohibitive.

摘要

行走过程中的地面反作用力(GRF)和压力中心(COP)是两项重要的测量指标,可用于一系列应用中,从外骨骼等设备的控制到临床评估。记录这些测量指标需要使用诸如测力板等固定的实验室设备或昂贵的便携式鞋垫。我们提出了一种替代方法,即开发一种3D打印鞋垫,该鞋垫使用气室和压力传感器来估计净GRF和前后COP位置。这种设计有意做得很简单,仅使用两个气室,可以使用标准3D打印技术和现成的软材料制造。我们使用从运动捕捉系统实验记录的数据以及参数识别技术,在不同速度行走时对鞋垫进行表征和验证。我们的结果表明,该鞋垫能够承受行走过程中的反复加载——高达体重的1.2倍——并且具有足够高的带宽来捕捉步态动力学。识别出的模型能够以小于9%的误差估计GRF和前后COP位置。这些结果与市售的仪器化鞋垫相比具有优势,并且可以以其成本的一小部分获得。这种低成本但有效的解决方案可以帮助在实验室条件之外记录步态很重要但商业解决方案成本过高的应用中。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cdd9/12031006/736df68aff3d/sensors-25-02524-g001.jpg

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