Tibiofemoral Joint Contact Force Estimation Based on OpenSim Musculoskeletal Modeling

ObjectiveA full-body musculoskeletal model is developed based on OpenSim, which has a knee joint structure with double contact points and three degrees of freedom, and to estimate the knee joint load, so as to provide the reliable basis for precise diagnosis of the patients with knee osteoarthritis...

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Main Authors: WANG Xiaoling, JIAN Jiawei, XIE Qiurong, LIAN Zhanghui, GUO Chunming, GUO Jiemei, LI Yurong
Format: Article
Language:English
Published: Editorial Office of Rehabilitation Medicine 2024-01-01
Series:康复学报
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Online Access:http://kfxb.publish.founderss.cn/thesisDetails?columnId=59659941&Fpath=home&index=0
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author WANG Xiaoling
JIAN Jiawei
XIE Qiurong
LIAN Zhanghui
GUO Chunming
GUO Jiemei
LI Yurong
author_facet WANG Xiaoling
JIAN Jiawei
XIE Qiurong
LIAN Zhanghui
GUO Chunming
GUO Jiemei
LI Yurong
author_sort WANG Xiaoling
collection DOAJ
description ObjectiveA full-body musculoskeletal model is developed based on OpenSim, which has a knee joint structure with double contact points and three degrees of freedom, and to estimate the knee joint load, so as to provide the reliable basis for precise diagnosis of the patients with knee osteoarthritis and formulation of customized rehabilitation plan in clinic.MethodAuthorized public data set from Stanford university, published by the Shiley Center for Orthopaedic Research & Education at Scripps Clinic in La Jolla, California, was used to collect four subjects who had been undergone the total knee arthroplasty and implanted the pressure testing equipment. Based on the general musculoskeletal model gait2392 in the OpenSim model library, the tibial-femoral joint is adjusted from a single contact point to a double contact point, and the knee joint structure is adjusted to have three directional degrees of freedom. Through the model scale, inverse kinematics, inverse dynamics analysis, residual reduction processing and muscle control and analysis, medial/lateral tibiofemoral contact force is estimated during walking gait, considering the contribution of external force and internal muscle strength. MATLAB 2018b is used for statistical analysis. The effectiveness of the musculoskeletal model established in this study is verified by comparing the model estimation results with the measurement results of the implanted prosthesis.ResultsThe average correlation between the estimated contact force and the measured value of medial, lateral, and total contact force were 0.921±0.079, 0.817±0.084, and 0.930±0.066, and the average root square error were 0.336±0.146 BW, 0.332±0.146 BW, and 0.442±0.160 BW. The root mean square error of the estimated and measured peak contact force of the medial and lateral sides were 0.43±0.25 BW and 0.34±0.24 BW, and the errors at the time of peak contact force onset were 44.09±34.66 ms and 67.52±61.19 ms. Compared with the imimplanted pressure testing equipment, the tibiofemoral joint contact force estimation method based on OpenSim muscle bone modeling could accurately predict the medical, lateral and total contact forces of the knee joint.ConclusionThe established full-body OpenSim musculoskeletal model of the knee joint with two contact points and three degrees of freedom can be used to generate muscle-driven gait simulation and obtain reliable contact forces of the tibiofemoral joint, which provides an important basis for accurate monitoring of tibiofemoral joint load, formulation of clinical rehabilitation programs and continuous improvement of prosthesis design.
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spelling doaj-art-823c7453241d4ba89ba69f3ea5001f062025-08-20T02:34:03ZengEditorial Office of Rehabilitation Medicine康复学报2096-03282024-01-0111059659941Tibiofemoral Joint Contact Force Estimation Based on OpenSim Musculoskeletal ModelingWANG XiaolingJIAN JiaweiXIE QiurongLIAN ZhanghuiGUO ChunmingGUO JiemeiLI YurongObjectiveA full-body musculoskeletal model is developed based on OpenSim, which has a knee joint structure with double contact points and three degrees of freedom, and to estimate the knee joint load, so as to provide the reliable basis for precise diagnosis of the patients with knee osteoarthritis and formulation of customized rehabilitation plan in clinic.MethodAuthorized public data set from Stanford university, published by the Shiley Center for Orthopaedic Research & Education at Scripps Clinic in La Jolla, California, was used to collect four subjects who had been undergone the total knee arthroplasty and implanted the pressure testing equipment. Based on the general musculoskeletal model gait2392 in the OpenSim model library, the tibial-femoral joint is adjusted from a single contact point to a double contact point, and the knee joint structure is adjusted to have three directional degrees of freedom. Through the model scale, inverse kinematics, inverse dynamics analysis, residual reduction processing and muscle control and analysis, medial/lateral tibiofemoral contact force is estimated during walking gait, considering the contribution of external force and internal muscle strength. MATLAB 2018b is used for statistical analysis. The effectiveness of the musculoskeletal model established in this study is verified by comparing the model estimation results with the measurement results of the implanted prosthesis.ResultsThe average correlation between the estimated contact force and the measured value of medial, lateral, and total contact force were 0.921±0.079, 0.817±0.084, and 0.930±0.066, and the average root square error were 0.336±0.146 BW, 0.332±0.146 BW, and 0.442±0.160 BW. The root mean square error of the estimated and measured peak contact force of the medial and lateral sides were 0.43±0.25 BW and 0.34±0.24 BW, and the errors at the time of peak contact force onset were 44.09±34.66 ms and 67.52±61.19 ms. Compared with the imimplanted pressure testing equipment, the tibiofemoral joint contact force estimation method based on OpenSim muscle bone modeling could accurately predict the medical, lateral and total contact forces of the knee joint.ConclusionThe established full-body OpenSim musculoskeletal model of the knee joint with two contact points and three degrees of freedom can be used to generate muscle-driven gait simulation and obtain reliable contact forces of the tibiofemoral joint, which provides an important basis for accurate monitoring of tibiofemoral joint load, formulation of clinical rehabilitation programs and continuous improvement of prosthesis design.http://kfxb.publish.founderss.cn/thesisDetails?columnId=59659941&Fpath=home&index=0Tibiofemoral jointMedial/lateral tibiofemoral forceOpenSimMusculoskeletal modelWalking gait
spellingShingle WANG Xiaoling
JIAN Jiawei
XIE Qiurong
LIAN Zhanghui
GUO Chunming
GUO Jiemei
LI Yurong
Tibiofemoral Joint Contact Force Estimation Based on OpenSim Musculoskeletal Modeling
康复学报
Tibiofemoral joint
Medial/lateral tibiofemoral force
OpenSim
Musculoskeletal model
Walking gait
title Tibiofemoral Joint Contact Force Estimation Based on OpenSim Musculoskeletal Modeling
title_full Tibiofemoral Joint Contact Force Estimation Based on OpenSim Musculoskeletal Modeling
title_fullStr Tibiofemoral Joint Contact Force Estimation Based on OpenSim Musculoskeletal Modeling
title_full_unstemmed Tibiofemoral Joint Contact Force Estimation Based on OpenSim Musculoskeletal Modeling
title_short Tibiofemoral Joint Contact Force Estimation Based on OpenSim Musculoskeletal Modeling
title_sort tibiofemoral joint contact force estimation based on opensim musculoskeletal modeling
topic Tibiofemoral joint
Medial/lateral tibiofemoral force
OpenSim
Musculoskeletal model
Walking gait
url http://kfxb.publish.founderss.cn/thesisDetails?columnId=59659941&Fpath=home&index=0
work_keys_str_mv AT wangxiaoling tibiofemoraljointcontactforceestimationbasedonopensimmusculoskeletalmodeling
AT jianjiawei tibiofemoraljointcontactforceestimationbasedonopensimmusculoskeletalmodeling
AT xieqiurong tibiofemoraljointcontactforceestimationbasedonopensimmusculoskeletalmodeling
AT lianzhanghui tibiofemoraljointcontactforceestimationbasedonopensimmusculoskeletalmodeling
AT guochunming tibiofemoraljointcontactforceestimationbasedonopensimmusculoskeletalmodeling
AT guojiemei tibiofemoraljointcontactforceestimationbasedonopensimmusculoskeletalmodeling
AT liyurong tibiofemoraljointcontactforceestimationbasedonopensimmusculoskeletalmodeling