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Implementation of a Shoulder and Elbow musculoskeletal model in musculoskeletal modelling and simulation software (MSMS)

机译:肩肘肌肉骨骼模型在肌肉骨骼建模和仿真软件(MSMS)中的实现

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摘要

Musculoskeletal Models are useful for designing rehabilitation technology (RT). MSMS software has unique features which let simulate RT along with different controllers. Unfortunately there are technical differences across platforms which yield to different results. Therefore benchmarking of simulations has been proposed. Here we present the implementation of a Shoulder and Elbow musculosketal (SE) model based on the MoBL ARMS model. SE model consists of 5 rigid segments linked with 5 degrees of freedom driven by 12 muscles. Muscle fascicle length (FL) and active fiber force (AFF) were calculated during simulation of 2 single joint shoulder and elbow movements. RMS errors were calculated between results. Differences between models were smallest for muscle FL (RMSE≤0.0037) and AFF (RMSE≤22.0155). RMS errors were biggest for FL of deltoid posterior muscle (RMSE=0.1165) and for AFF of supraspinatus muscle (RMSE=164.97) during shoulder abduction. But both models showed similar outputs.
机译:肌肉骨骼模型可用于设计康复技术(RT)。 MSMS软件具有独特的功能,可以与不同的控制器一起模拟RT。不幸的是,各个平台之间存在技术差异,导致产生不同的结果。因此,已经提出了模拟基准测试。在这里,我们介绍基于MoBL ARMS模型的肩肘肌肉骨骼(SE)模型的实现。 SE模型由5个刚性段组成,这些刚性段由12个肌肉驱动,具有5个自由度。在模拟2个单关节肩膀和肘部运动过程中,计算了肌肉束长度(FL)和活动纤维力(AFF)。计算结果之间的RMS误差。肌肉FL(RMSE≤0.0037)和AFF(RMSE≤22.0155)的模型之间的差异最小。肩外展期间,三角肌后肌的FL(RMSE = 0.1165)和棘上肌的AFF(RMSE = 164.97)的RMS误差最大。但是两个模型都显示出相似的输出。

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