通过动作捕捉和肌肉骨骼建模来理解中风后的运动:方法和实践的范围审查

SPG biomed Pub Date : 2022-11-16 DOI:10.3390/biomed2040032
G. Giarmatzis, S. Fotiadou, E. Giannakou, Christos Kokkotis, Theodora D Fanaradelli, S. Kordosi, K. Vadikolias, N. Aggelousis
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引用次数: 0

摘要

通过肌肉骨骼(MSK)模型对脑卒中后运动的研究为病理肌肉功能及其与骨骼几何形状和外部刺激的相互作用提供了前所未有的见解。在解决中风后努力的动力系统和使用的通用MSK模型的进展引发了在模拟中风人群的肌肉激活动力学显著的改进。然而,尚未对这些进展进行审查,以告知科学界。使用PubMed和Scopus数据库进行全面的文献检索,以确定2010年以来的相关文章。在这里,我们回顾了MSK方法和实践——在过去十年中发展起来的,用于探索中风后运动,并检查其结果如何为临床实践提供信息。在最初发现的44篇文章中,有19篇被审查。文章根据使用MSK方法的评估类型进行了分类。本综述指出,现有方法在解决卒中后运动缺陷方面具有相当大的能力。然而,由于高技能要求和缺乏成熟的软件技术来进一步传播实践和结果,非专家实施这些方法的缺点仍然是不容忽视的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Understanding Post-Stroke Movement by Means of Motion Capture and Musculoskeletal Modeling: A Scoping Review of Methods and Practices
Research of post-stroke locomotion via musculoskeletal (MSK) modeling has offered an unprecedented insight into pathological muscle function and its interplay with skeletal geometry and external stimuli. Advances in solving the dynamical system of post-stroke effort and the generic MSK models used have triggered noticeable improvements in simulating muscle activation dynamics of stroke populations. However, a review of these advancements to inform the scientific community has yet to be made.: PubMed and Scopus databases were used to perform a thorough literature search to identify relevant articles since 2010. Here, we review MSK methods and practices—developed in the last ten years—that have been utilized to explore post-stroke locomotion and examine how their outcomes can inform clinical practice.: Out of the 44 articles that were initially found, 19 were reviewed. The articles were categorized with respect to the type of assessment the MSK methods were used for.: This review notes the considerable competence of existing methods to address post-stroke motion deficits. However, the drawbacks in the implementation of such methods by non-experts due to the high skill demand and the lack of mature software technology for further dissemination of practices and outcomes remain non-trivial.
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