一种基于标记的方法来确定手指关节的旋转中心
Martina Lapresa1, Eugenio Guglielmelli1, Loredana Zollo1
1Research Unit of Advanced Robotics and Human-Centred Technologies, Università Campus Bio-Medico di Roma, Via Alvaro del Portillo, 21, Roma, 00128, Italy.
Computer methods and programs in biomedicine
|February 6, 2024
概括
这项研究引入了一种更简单,更快速的方法,使用普拉特圆圈适合从标记数据估计手指关节旋转中心 (CoRs). 新技术实现了高精度和可重复性,与现有方法相比,但使用的标记较少.
科学领域:
- 生物力学 生物力学
- 人类运动分析分析
- 机器人技术 机器人技术 机器人技术
背景情况:
- 估计关节旋转中心 (CoRs) 通常需要复杂的优化和许多标记器.
- 现有的方法往往缺乏通过现实世界的实验收购来验证.
- 目前的方法主要集中在模拟准确性评估上.
研究的目的:
- 提出一种新的,计算效率高的程序,用基于标记的数据来估计2D联合COR.
- 为了利用普拉特圆适合于简化的COR估计.
- 通过实验收购来验证方法的准确性,可重复性和解剖学可信性.
主要方法:
- 使用普拉特圆合算法进行二维COR估计.
- 应用平面和脱的手指关节运动的简化假设.
- 在一个人形机器人手和五名健康志愿者身上验证了该方法.
主要成果:
- 在COR估计中获得了高精度 (x和y坐标中的0.70mm和0.18mm误差).
- 证明了出色的重复性,标准偏差低于2毫米和1毫米.
- 报告的解剖学可信率在80%至100%之间.
结论:
- 基于普拉特的COR估计程序是准确的和可重复的.
- 与现有技术相比,该方法在简单性和减少标记器要求方面具有优势.
- 这种方法为生物力学分析中共同的COR估计提供了一个计算效率高的替代方案.
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