基于影像学构建个体化OpenSim下肢肌骨模型的生物力学研究应用进展综述
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1.宁波大学;2.奥克兰大学

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国家自然科学基金资助项目(No.81772423),第一作者获中新政府博士研究生奖学项目资助。


Review on the Application of Image-Based Subject-Specific OpenSim Lower Extremity Musculoskeletal Model into Biomechanics Research
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1.Ningbo University;2.University of Auckland

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    摘要:

    传统生物力学测试与分析在医学工程研究中已有广泛的应用,鉴于OpenSim肌骨系统模拟平台的开源性,近年来快速发展且被大量研究使用,本文检索了2007年1月1日至2018年10月31日间发表的基于影像学个体化OpenSim下肢肌骨建模的研究论文,依据文献入选及剔除标准,获得英文学术论文20篇。个体化OpenSim肌骨模型可计算基础的运动学与动力学数据,揭示神经肌肉控制、肌肉力量和几何学变化及关节接触力等信息;结合影像学建模分析病理步态的神经肌肉控制及相关器具应用的人机工效学等研究均表明其应用的可靠性与可行性,也存在耗时及足踝关节模拟的局限性。本文综述了构建个体化病理肌骨模型,能提升临床生物力学及医学工程学研究的精准性和多样性,揭示不同病理特点并为制定精准的诊断与康复方案、健康监测与评估状况及外部装置的工效学定制与测评提供科学依据;并为未来该领域研究提供了启示与方向。

    Abstract:

    Traditional biomechanical analysis and research have been extensively applied into the research of medical engineering. Due to the open-source of OpenSim modelling, it has developed rapidly and been widely utilized. This paper reviewed studies of image-based subject-specific OpenSim Musculoskeletal Modelling to lower extremity biomechanics between 1 Jan 2007 and 31 October 2018. Based the inclusion and exclusion criteria of literatures, tweenty full-paper English articles were obtained. Apart from the basic kinematic and kinetic data, subject-specific OpenSim model could reveal information of neuromuscular control, muscle forces and geometry, and contact forces. Image-based modelling of the neuromuscular control and ergonomic evaluation of prostheses confirmed the reliability and feasibility, but showed limitations in time-consumption and foot-ankle modelling. This reviewed presented subject-specific modelling of pathological gait could improve the accuracy and diversity of clinical biomechanics and medical engineering research. It could also reveal the pathological features, and provide scientific evidence to design specific and accurate protocols of motor function diagnosis and rehabilitation, health monitoring and evaluation, and ergonomic customization and assessment of devices. Future directions and implications were provided in the research field.

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  • 收稿日期:2019-01-08
  • 最后修改日期:2019-02-28
  • 录用日期:2019-03-28
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