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使用单足安装惯性传感器和个性化足部几何扫描估计最小足部间隙。

Estimation of minimum foot clearance using a single foot-mounted inertial sensor and personalized foot geometry scan.

机构信息

Mechanical Engineering Department, University of Wisconsin-Madison, Madison, WI, USA.

Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI, USA.

出版信息

Sci Rep. 2024 Jun 13;14(1):13640. doi: 10.1038/s41598-024-63124-6.

Abstract

The real-world measurement of minimum foot clearance (mFC) during the swing phase of gait is critical in efforts to understand and reduce the risk of trip-and-fall incidents in populations with gait impairments. Past research has focused on measuring clearance of a single point on a person's foot, typically the toe-however, this may overestimate mFC and may even be the wrong region of the foot in cases of gait impairments or interventions. In this work, we present a novel method to reconstruct the swing-phase trajectory of an arbitrary number of points on a person's shoe and estimate the instantaneous height and location of whole-foot mFC. This is achieved using a single foot-mounted inertial sensor and personalized shoe geometry scan, assuming a rigid-body IMU-shoe system. This combination allows collection and analysis using out-of-lab tests, potentially including clinical environments. Validation of single marker location using the proposed method vs. motion capture showed height errors with bias less than 0.05 mm, and 95% confidence interval of - 8.18 to + 8.09 mm. The method is demonstrated in an example data set comparing different interventions for foot drop, and it shows clear differences among no intervention, functional electrical stimulation, and ankle-foot orthosis conditions. This method offers researchers and clinicians a rich understanding of a person's gait by providing objective 3D foot kinematics and allowing a unique opportunity to view the regions of the foot where minimum clearance occurs. This information can contribute to a more informed recommendation of specific interventions or assistive technology than is currently possible in standard clinical practice.

摘要

在步态摆动阶段,对最小足部间隙(mFC)进行真实世界的测量,对于理解和降低步态障碍人群中绊倒风险至关重要。过去的研究主要集中在测量一个人足部的单点间隙,通常是脚趾——然而,这可能会高估 mFC,甚至在步态障碍或干预的情况下,这可能是足部的错误区域。在这项工作中,我们提出了一种新的方法,可以重建一个人鞋子上任意数量点的摆动阶段轨迹,并估计整个足部 mFC 的瞬时高度和位置。这是通过使用单个脚部惯性传感器和个性化鞋几何扫描来实现的,假设是一个刚体 IMU-鞋系统。这种组合允许使用实验室外的测试进行收集和分析,可能包括临床环境。使用提出的方法与运动捕捉对单个标记位置进行验证表明,高度误差的偏差小于 0.05 毫米,95%置信区间为-8.18 至+8.09 毫米。该方法在一个比较不同足下垂干预措施的示例数据集上进行了演示,它清楚地显示了无干预、功能性电刺激和踝足矫形器条件之间的差异。这种方法为研究人员和临床医生提供了对一个人步态的深入了解,提供了客观的 3D 足部运动学,并为观察足部最小间隙发生的区域提供了独特的机会。这些信息可以为特定干预措施或辅助技术的推荐提供更明智的建议,而这在目前的临床实践中是不可能的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/efe9/11637083/04a35c5c3189/41598_2024_63124_Fig1_HTML.jpg

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