Suppr超能文献

皮肤标记点定位及其组合对采用功能法估计髋关节中心的影响。

Influence of Skin Marker Positioning and Their Combinations on Hip Joint Center Estimation Using the Functional Method.

作者信息

Martinez Lucas, Lalevée Matthieu, Poirier Thomas, Brunel Helena, Matsoukis Jean, Van Driessche Stéphane, Billuart Fabien

机构信息

Unité de Recherche ERPHAN, UR 20201, UVSQ, 92380 Garches, France.

Laboratoire d'Analyse du Mouvement, Institut de Formation en Masso-Kinésithérapie Saint Michel, 68 rue du Commerce, 75015 Paris, France.

出版信息

Bioengineering (Basel). 2024 Mar 21;11(3):297. doi: 10.3390/bioengineering11030297.

Abstract

Accurate estimation of hip joint center (HJC) position is crucial during gait analysis. HJC is obtained with predictive or functional methods. But in the functional method, there is no consensus on where to place the skin markers and which combination to use. The objective of this study was to analyze how different combinations of skin markers affect the estimation of HJC position relative to predictive methods. Forty-one healthy volunteers were included in this study; thirteen markers were placed on the pelvis and hip of each subject's lower limbs. Various marker combinations were used to determine the HJC position based on ten calibration movement trials, captured by a motion capture system. The estimated HJC position for each combination was evaluated by focusing on the range and standard deviation of the mean norm values of HJC and the mean X, Y, Z coordinates of HJC for each limb. The combinations that produced the best estimates incorporated the markers on the pelvis and on proximal and easily identifiable muscles, with results close to predictive methods. The combination that excluded the markers on the pelvis was not robust in estimating the HJC position.

摘要

在步态分析过程中,准确估计髋关节中心(HJC)位置至关重要。HJC是通过预测或功能方法获得的。但在功能方法中,对于皮肤标记物的放置位置以及使用哪种组合尚无共识。本研究的目的是分析皮肤标记物的不同组合相对于预测方法如何影响HJC位置的估计。本研究纳入了41名健康志愿者;在每个受试者下肢的骨盆和髋部放置了13个标记物。基于由动作捕捉系统捕获的十次校准运动试验,使用各种标记物组合来确定HJC位置。通过关注HJC平均规范值的范围和标准差以及每个肢体HJC的平均X、Y、Z坐标,评估每种组合的估计HJC位置。产生最佳估计的组合包括骨盆上以及近端且易于识别的肌肉上的标记物,其结果与预测方法接近。排除骨盆上标记物的组合在估计HJC位置时不够稳健。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/756e/10967793/178ada5c299c/bioengineering-11-00297-g001.jpg

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