Suppr超能文献

使用坐站非线性动力模型进行共轭动量估计与加速度计表面数据相关性良好。

Conjugate momentum estimate using non-linear dynamic model of the sit-to-stand correlates well with accelerometric surface data.

机构信息

Laboratoire de Recherche en Imagerie et Orthopédie (LIO), Centre de Recherche du Centre Hospitalier Universitaire de Montréal site Notre-Dame, École de technologie supérieure, Montréal, Canada.

出版信息

J Biomech. 2011 Apr 7;44(6):1073-7. doi: 10.1016/j.jbiomech.2011.01.037. Epub 2011 Mar 5.

Abstract

The purpose of this study was the development of a non-linear double inverted constrained pendulum model for the analysis of the movement of sit-to-stand (STS) transition. Ten able-bodied subjects perform five trials in their natural speed. Kinematics, kinetics as well as body worn accelerometer data were collected during the STS task using optoelectronic motion capture, force plate and inertial measurement unit, respectively. The conjugate momentum for the whole body which includes linear and angular motion correlates well with the accelerometric surface spanned by the accelerometer data. The partitioning of the conjugate momentum indicates a clear coordination between upper and lower limb after seat-off period. Moreover, the normalization procedure indicates a clear minimal and somehow invariant threshold value of the conjugate momentum to approximately 0.3 (body mass×body length) to perform the sit-to-stand for able-bodied subject. This threshold correlates well with the data obtained from accelerometeric index. The proposed accelerometric index is relevant to assess STS performance and to detect failed STS in clinics and outside a laboratory for patients with reduced mobility.

摘要

本研究的目的是开发一种非线性双倒立约束摆模型,用于分析从坐到站(STS)转换的运动。十名健康受试者以其自然速度进行五次试验。使用光电运动捕捉、力板和惯性测量单元分别在 STS 任务期间收集运动学、动力学以及佩戴在身体上的加速度计数据。整个身体的共轭动量包括线性和角运动,与由加速度计数据跨越的加速度计表面很好地相关。共轭动量的划分表明,在离开座位后,上肢和下肢之间有明显的协调。此外,归一化过程表明,健康受试者进行从坐到站动作时,共轭动量大约为 0.3(体重×体长),存在一个明显的最小且某种程度上不变的阈值。这个阈值与加速度计指数获得的数据很好地相关。所提出的加速度计指数与评估 STS 性能以及在临床和实验室外检测活动能力降低的患者的失败 STS 有关。

相似文献

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验