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用智能子测量的脚下压力数据估计膝关节负荷:可行性研究

Pauls Daugulis¹, Aleksejs Kataševs¹, Aleksandrs Okss²

¹Institute of Biomedical Engineering and Nanotechnologies, Riga Technical University, Riga, Latvia.

Technology and health care : official journal of the European Society for Engineering and Medicine

|December 3, 2023

概括

智能子可以通过测量脚下压力来估计膝关节的关节力,为运动员提供一个预算友好的解决方案,以监测和预防下肢受伤. 这项技术可能会导致新的警报设备.

科学领域:

生物力学生物力学
运动医学运动医学
可穿戴技术可穿戴技术

背景情况:

下肢创伤在无监督的运动中很常见,通常是由危险的关节力引起的.
横向压力变化与步行节奏相关,这表明与四肢加速和关节力有关.
智能子提供了一种具有成本效益的方法来测量脚部压力.

研究的目的:

为了确定智能子测量的足部压力与下肢关节内的力量之间的相关性.
评估智能子作为监测运动员联合力量的工具的潜力.

主要方法:

一个案例研究涉及一个志愿者执行.
用嵌入式针织压力传感器的智能子收集的足部压力数据.
用惯性测量单元捕获的下肢运动数据,以使用简化机械模型估计膝关节的力量.

主要成果:

在脚下压力和估计的膝关节力量之间发现了强烈的相关性 (r=0.75,P<0.001).
一个线性回归模型允许从脚下压力计算膝关节联合力,不确定性为22%.
对于检测过度的关节力 (最大的90%以上) 的分类准确率为82%.

结论:

智能子是可行的估计膝关节的力量.
这项技术可以用于开发可以提醒运动员过度联合力的设备.
智能子为关节力监测提供了比惯性传感器更方便的替代方案.

关键词:

膝关节的强力作用使得膝关节的力量变得更大.脚下压力脚下压力智能子智能子智能织品是一种智能织品.

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