Suppr超能文献

基于惯性运动捕捉数据的下肢解剖学标志轨迹的计算方法。

A Method for Calculating Lower Extremity Anatomical Landmark Trajectories Based on Inertial Motion Capture Data.

出版信息

IEEE Trans Neural Syst Rehabil Eng. 2023;31:2734-2746. doi: 10.1109/TNSRE.2023.3285924. Epub 2023 Jun 21.

Abstract

Anatomical landmark trajectories are commonly used to define joint coordinate systems in human kinematic analysis according to standards proposed by the International Society of Biomechanics (ISB). However, most inertial motion capture (IMC) studies focus only on joint angle measurement, which limits its application. Therefore, this paper proposes a new method to calculate the trajectories of anatomical landmarks based on IMC data. The accuracy and reliability of this method were investigated by comparative analysis based on measurement data from 16 volunteers. The results showed that the accuracy of anatomical landmark trajectories was 23.4 to 57.3 mm, about 5.9% to 7.6% of the segment length, the orientation accuracy was about 3.3° to 8.1°, less than 8.6% of the range of motion (ROM), using optical motion capture results as the gold standard. Furthermore, the accuracy of this method is are similar to that of Xsens MVN, a commercial IMC system. The results also show that the algorithm allows for more in-depth motion analysis based on IMC data, and the output format is more versatile.

摘要

解剖学标志轨迹通常用于根据国际生物力学学会 (ISB) 提出的标准定义人体运动学分析中的关节坐标系。然而,大多数惯性运动捕捉 (IMC) 研究仅关注关节角度测量,这限制了其应用。因此,本文提出了一种基于 IMC 数据计算解剖学标志轨迹的新方法。通过对 16 名志愿者的测量数据进行对比分析,研究了该方法的准确性和可靠性。结果表明,解剖学标志轨迹的准确性为 23.4 至 57.3 毫米,约为节段长度的 5.9%至 7.6%,方向准确性约为 3.3°至 8.1°,小于运动范围 (ROM) 的 8.6%,以光学运动捕捉结果为金标准。此外,该方法的准确性与 Xsens MVN 等商用 IMC 系统相当。结果还表明,该算法允许基于 IMC 数据进行更深入的运动分析,并且输出格式更加通用。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验