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基于临床直接运动学与逆运动学步态模型的关节运动学计算

Joint kinematic calculation based on clinical direct kinematic versus inverse kinematic gait models.

作者信息

Kainz H, Modenese L, Lloyd D G, Maine S, Walsh H P J, Carty C P

机构信息

School of Allied Health Sciences, Menzies Health Institute Queensland, Griffith University, Gold Coast, Australia; Centre for Musculoskeletal Research, Menzies Health Institute Queensland, Griffith University, Gold Coast, Australia; Queensland Children׳s Motion Analysis Service, Queensland Paediatric Rehabilitation Service, Children׳s Health Queensland Hospital and Health Services, Brisbane, Australia.

School of Allied Health Sciences, Menzies Health Institute Queensland, Griffith University, Gold Coast, Australia; Centre for Musculoskeletal Research, Menzies Health Institute Queensland, Griffith University, Gold Coast, Australia; Department of Mechanical Engineering, University of Sheffield, United Kingdom; INSIGNEO Institute for in silico Medicine, The University of Sheffield, United Kingdom.

出版信息

J Biomech. 2016 Jun 14;49(9):1658-1669. doi: 10.1016/j.jbiomech.2016.03.052. Epub 2016 Apr 1.

Abstract

Most clinical gait laboratories use the conventional gait analysis model. This model uses a computational method called Direct Kinematics (DK) to calculate joint kinematics. In contrast, musculoskeletal modelling approaches use Inverse Kinematics (IK) to obtain joint angles. IK allows additional analysis (e.g. muscle-tendon length estimates), which may provide valuable information for clinical decision-making in people with movement disorders. The twofold aims of the current study were: (1) to compare joint kinematics obtained by a clinical DK model (Vicon Plug-in-Gait) with those produced by a widely used IK model (available with the OpenSim distribution), and (2) to evaluate the difference in joint kinematics that can be solely attributed to the different computational methods (DK versus IK), anatomical models and marker sets by using MRI based models. Eight children with cerebral palsy were recruited and presented for gait and MRI data collection sessions. Differences in joint kinematics up to 13° were found between the Plug-in-Gait and the gait 2392 OpenSim model. The majority of these differences (94.4%) were attributed to differences in the anatomical models, which included different anatomical segment frames and joint constraints. Different computational methods (DK versus IK) were responsible for only 2.7% of the differences. We recommend using the same anatomical model for kinematic and musculoskeletal analysis to ensure consistency between the obtained joint angles and musculoskeletal estimates.

摘要

大多数临床步态实验室使用传统的步态分析模型。该模型采用一种称为直接运动学(DK)的计算方法来计算关节运动学。相比之下,肌肉骨骼建模方法使用逆运动学(IK)来获取关节角度。IK允许进行额外的分析(如肌腱长度估计),这可能为运动障碍患者的临床决策提供有价值的信息。本研究的双重目的是:(1)比较临床DK模型(Vicon Plug-in-Gait)获得的关节运动学与广泛使用的IK模型(随OpenSim发行版提供)产生的关节运动学;(2)通过使用基于MRI的模型,评估仅归因于不同计算方法(DK与IK)、解剖模型和标记集的关节运动学差异。招募了8名脑瘫儿童,并让他们参加步态和MRI数据收集环节。在Plug-in-Gait和步态2392 OpenSim模型之间发现关节运动学差异高达13°。这些差异中的大多数(94.4%)归因于解剖模型的差异,其中包括不同的解剖节段框架和关节约束。不同的计算方法(DK与IK)仅导致2.7%的差异。我们建议在运动学和肌肉骨骼分析中使用相同的解剖模型,以确保获得的关节角度和肌肉骨骼估计之间的一致性。

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