Tools for the Biomechanical Analysis of Human Movement: Application to Knee Osteoarthritis

人体运动生物力学分析工具：在膝骨关节炎中的应用

• 批准号: RGPIN-2015-04834
• 负责人: Deluzio, Kevin
• 金额: $ 3.13万
• 依托单位: Queen's University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=638498
• 关键词: Tools; Biomechanical; Analysis; Human; Movement

My research career has focused on the development of engineering tools for the analysis of human movement. Working with my students, my research has contributed significantly to the development of techniques for the analysis and classification of human movement data. A challenge of biomechanical data is the substantial variability that may be confounded by uncertainties in the experimental methods. Ensuring reliable and consistent data within laboratories for longitudinal studies, between laboratories for data comparison, or in multicentre studies is, therefore, a significant and worthy challenge. I am proposing to improve the robustness and sensitivity of our classification techniques by quantifying and removing this nuisance variation. One of the key features of this new approach is that it can be applied to data already collected instead of only prescribing how data should be collected in the future.

我的研究生涯一直专注于开发用于分析人体运动的工程工具。与我的学生一起工作，我的研究为人类运动数据的分析和分类技术的发展做出了重大贡献。生物力学数据的一个挑战是大量的可变性，可能会被实验方法中的不确定性所混淆。因此，确保纵向研究实验室内、数据比较实验室之间或多中心研究中的数据可靠和一致是一项重大而有价值的挑战。我建议通过量化和消除这种令人讨厌的变化来改善我们的分类技术的鲁棒性和灵敏度。这种新方法的一个主要特点是，它可以应用于已经收集的数据，而不仅仅是规定未来应该如何收集数据。