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Real-time visual feedback for gait retraining: toward application in knee osteoarthritis.用于步态再训练的实时视觉反馈:迈向在膝关节骨关节炎中的应用
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A subject-specific musculoskeletal modeling framework to predict in vivo mechanics of total knee arthroplasty.一种用于预测全膝关节置换术体内力学的特定个体肌肉骨骼建模框架。
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使用OpenSim进行下肢应用的实时逆运动学和逆动力学

Real-time inverse kinematics and inverse dynamics for lower limb applications using OpenSim.

作者信息

Pizzolato C, Reggiani M, Modenese L, Lloyd D G

机构信息

a School of Allied Health Sciences and Menzies Health Institute Queensland , Griffith University , Gold Coast , Australia.

b Department of Management and Engineering , University of Padua , Vicenza , Italy.

出版信息

Comput Methods Biomech Biomed Engin. 2017 Mar;20(4):436-445. doi: 10.1080/10255842.2016.1240789. Epub 2016 Oct 10.

DOI:10.1080/10255842.2016.1240789
PMID:27723992
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5550294/
Abstract

Real-time estimation of joint angles and moments can be used for rapid evaluation in clinical, sport, and rehabilitation contexts. However, real-time calculation of kinematics and kinetics is currently based on approximate solutions or generic anatomical models. We present a real-time system based on OpenSim solving inverse kinematics and dynamics without simplifications at 2000 frame per seconds with less than 31.5 ms of delay. We describe the software architecture, sensitivity analyses to minimise delays and errors, and compare offline and real-time results. This system has the potential to strongly impact current rehabilitation practices enabling the use of personalised musculoskeletal models in real-time.

摘要

关节角度和力矩的实时估计可用于临床、运动和康复场景中的快速评估。然而,目前运动学和动力学的实时计算基于近似解或通用解剖模型。我们提出了一种基于OpenSim的实时系统,该系统可在不进行简化的情况下求解逆运动学和动力学,每秒2000帧,延迟小于31.5毫秒。我们描述了软件架构、用于最小化延迟和误差的敏感性分析,并比较了离线和实时结果。该系统有可能对当前的康复实践产生重大影响,使个性化肌肉骨骼模型的实时使用成为可能。