Prediction of In Vivo Knee Mechanics During Daily Activities Based on a Musculoskeletal Model Incorporated with a Subject-Specific Knee Joint
The objective of this study was to develop a musculoskeletal model incorporated with a subject-specific knee joint to predict the tibiofemoral contact force (TFCF) during daily motions. For this purpose, 18 healthy participants were recruited to perform the motion data acquisition using synchronized...
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| Published in | Bioengineering (Basel) Vol. 12; no. 2; p. 153 |
|---|---|
| Main Authors | , , , , , |
| Format | Journal Article |
| Language | English |
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01.02.2025
MDPI |
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| Online Access | Get full text |
| ISSN | 2306-5354 2306-5354 |
| DOI | 10.3390/bioengineering12020153 |
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| Abstract | The objective of this study was to develop a musculoskeletal model incorporated with a subject-specific knee joint to predict the tibiofemoral contact force (TFCF) during daily motions. For this purpose, 18 healthy participants were recruited to perform the motion data acquisition using synchronized motion capture and force platform systems, and motion simulation based on an improved musculoskeletal model for five daily activities, including normal walking, stair ascent, stair descent, sit-to-stand, and stand-to-sit. The proposed musculoskeletal model included subject-specific models of bones, cartilages, and meniscus, detailed knee ligaments and muscles, deformable elastic contacts, and multiple degrees of freedom (DOFs) of the knee joint. The prediction accuracy was demonstrated by the good agreements of TFCF curves between the model predictions and in vivo measurements for the five activities (RMSE: 0.216~0.311 BW, R2: 0.928~0.992, and CE: 0.048~0.141). Based on the validated model, the TFCF on total, medial, and lateral compartments (TFCFTotal, TFCFMedial, and TFCFLateral) during the five daily activities were predicted. For TFCFTotal, the peak force for stair descent or sit-to-stand was the largest, followed by stair ascent or stand-to-sit, and finally normal walking. For TFCFMedial, stair descent had the largest peak, followed by stair ascent. There were no significant differences between the peak TFCFMedial values of normal walking, sit-to-stand, and stand-to-sit. For TFCFLateral, the peak of sit-to-stand was the largest, followed by stand-to-sit or stair descent, and finally normal walking or stair ascent. This study is valuable for further understanding the biomechanics of a healthy knee joint and providing theoretical guidance for the treatment of knee osteoarthritis (KOA). |
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| AbstractList | The objective of this study was to develop a musculoskeletal model incorporated with a subject-specific knee joint to predict the tibiofemoral contact force (TFCF) during daily motions. For this purpose, 18 healthy participants were recruited to perform the motion data acquisition using synchronized motion capture and force platform systems, and motion simulation based on an improved musculoskeletal model for five daily activities, including normal walking, stair ascent, stair descent, sit-to-stand, and stand-to-sit. The proposed musculoskeletal model included subject-specific models of bones, cartilages, and meniscus, detailed knee ligaments and muscles, deformable elastic contacts, and multiple degrees of freedom (DOFs) of the knee joint. The prediction accuracy was demonstrated by the good agreements of TFCF curves between the model predictions and in vivo measurements for the five activities (RMSE: 0.216~0.311 BW, R[sup.2]: 0.928~0.992, and C[sub.E]: 0.048~0.141). Based on the validated model, the TFCF on total, medial, and lateral compartments (TFCF[sub.Total], TFCF[sub.Medial], and TFCF[sub.Lateral]) during the five daily activities were predicted. For TFCF[sub.Total], the peak force for stair descent or sit-to-stand was the largest, followed by stair ascent or stand-to-sit, and finally normal walking. For TFCF[sub.Medial], stair descent had the largest peak, followed by stair ascent. There were no significant differences between the peak TFCF[sub.Medial] values of normal walking, sit-to-stand, and stand-to-sit. For TFCF[sub.Lateral], the peak of sit-to-stand was the largest, followed by stand-to-sit or stair descent, and finally normal walking or stair ascent. This study is valuable for further understanding the biomechanics of a healthy knee joint and providing theoretical guidance for the treatment of knee osteoarthritis (KOA). The objective of this study was to develop a musculoskeletal model incorporated with a subject-specific knee joint to predict the tibiofemoral contact force (TFCF) during daily motions. For this purpose, 18 healthy participants were recruited to perform the motion data acquisition using synchronized motion capture and force platform systems, and motion simulation based on an improved musculoskeletal model for five daily activities, including normal walking, stair ascent, stair descent, sit-to-stand, and stand-to-sit. The proposed musculoskeletal model included subject-specific models of bones, cartilages, and meniscus, detailed knee ligaments and muscles, deformable elastic contacts, and multiple degrees of freedom (DOFs) of the knee joint. The prediction accuracy was demonstrated by the good agreements of TFCF curves between the model predictions and in vivo measurements for the five activities (RMSE: 0.216~0.311 BW, R2: 0.928~0.992, and CE: 0.048~0.141). Based on the validated model, the TFCF on total, medial, and lateral compartments (TFCFTotal, TFCFMedial, and TFCFLateral) during the five daily activities were predicted. For TFCFTotal, the peak force for stair descent or sit-to-stand was the largest, followed by stair ascent or stand-to-sit, and finally normal walking. For TFCFMedial, stair descent had the largest peak, followed by stair ascent. There were no significant differences between the peak TFCFMedial values of normal walking, sit-to-stand, and stand-to-sit. For TFCFLateral, the peak of sit-to-stand was the largest, followed by stand-to-sit or stair descent, and finally normal walking or stair ascent. This study is valuable for further understanding the biomechanics of a healthy knee joint and providing theoretical guidance for the treatment of knee osteoarthritis (KOA). The objective of this study was to develop a musculoskeletal model incorporated with a subject-specific knee joint to predict the tibiofemoral contact force (TFCF) during daily motions. For this purpose, 18 healthy participants were recruited to perform the motion data acquisition using synchronized motion capture and force platform systems, and motion simulation based on an improved musculoskeletal model for five daily activities, including normal walking, stair ascent, stair descent, sit-to-stand, and stand-to-sit. The proposed musculoskeletal model included subject-specific models of bones, cartilages, and meniscus, detailed knee ligaments and muscles, deformable elastic contacts, and multiple degrees of freedom (DOFs) of the knee joint. The prediction accuracy was demonstrated by the good agreements of TFCF curves between the model predictions and in vivo measurements for the five activities (RMSE: 0.216~0.311 BW, R 2 : 0.928~0.992, and C E : 0.048~0.141). Based on the validated model, the TFCF on total, medial, and lateral compartments (TFCF Total , TFCF Medial , and TFCF Lateral ) during the five daily activities were predicted. For TFCF Total , the peak force for stair descent or sit-to-stand was the largest, followed by stair ascent or stand-to-sit, and finally normal walking. For TFCF Medial , stair descent had the largest peak, followed by stair ascent. There were no significant differences between the peak TFCF Medial values of normal walking, sit-to-stand, and stand-to-sit. For TFCF Lateral , the peak of sit-to-stand was the largest, followed by stand-to-sit or stair descent, and finally normal walking or stair ascent. This study is valuable for further understanding the biomechanics of a healthy knee joint and providing theoretical guidance for the treatment of knee osteoarthritis (KOA). The objective of this study was to develop a musculoskeletal model incorporated with a subject-specific knee joint to predict the tibiofemoral contact force (TFCF) during daily motions. For this purpose, 18 healthy participants were recruited to perform the motion data acquisition using synchronized motion capture and force platform systems, and motion simulation based on an improved musculoskeletal model for five daily activities, including normal walking, stair ascent, stair descent, sit-to-stand, and stand-to-sit. The proposed musculoskeletal model included subject-specific models of bones, cartilages, and meniscus, detailed knee ligaments and muscles, deformable elastic contacts, and multiple degrees of freedom (DOFs) of the knee joint. The prediction accuracy was demonstrated by the good agreements of TFCF curves between the model predictions and in vivo measurements for the five activities (RMSE: 0.216~0.311 BW, R : 0.928~0.992, and C : 0.048~0.141). Based on the validated model, the TFCF on total, medial, and lateral compartments (TFCF , TFCF , and TFCF ) during the five daily activities were predicted. For TFCF , the peak force for stair descent or sit-to-stand was the largest, followed by stair ascent or stand-to-sit, and finally normal walking. For TFCF , stair descent had the largest peak, followed by stair ascent. There were no significant differences between the peak TFCF values of normal walking, sit-to-stand, and stand-to-sit. For TFCF , the peak of sit-to-stand was the largest, followed by stand-to-sit or stair descent, and finally normal walking or stair ascent. This study is valuable for further understanding the biomechanics of a healthy knee joint and providing theoretical guidance for the treatment of knee osteoarthritis (KOA). The objective of this study was to develop a musculoskeletal model incorporated with a subject-specific knee joint to predict the tibiofemoral contact force (TFCF) during daily motions. For this purpose, 18 healthy participants were recruited to perform the motion data acquisition using synchronized motion capture and force platform systems, and motion simulation based on an improved musculoskeletal model for five daily activities, including normal walking, stair ascent, stair descent, sit-to-stand, and stand-to-sit. The proposed musculoskeletal model included subject-specific models of bones, cartilages, and meniscus, detailed knee ligaments and muscles, deformable elastic contacts, and multiple degrees of freedom (DOFs) of the knee joint. The prediction accuracy was demonstrated by the good agreements of TFCF curves between the model predictions and in vivo measurements for the five activities (RMSE: 0.216~0.311 BW, R2: 0.928~0.992, and CE: 0.048~0.141). Based on the validated model, the TFCF on total, medial, and lateral compartments (TFCFTotal, TFCFMedial, and TFCFLateral) during the five daily activities were predicted. For TFCFTotal, the peak force for stair descent or sit-to-stand was the largest, followed by stair ascent or stand-to-sit, and finally normal walking. For TFCFMedial, stair descent had the largest peak, followed by stair ascent. There were no significant differences between the peak TFCFMedial values of normal walking, sit-to-stand, and stand-to-sit. For TFCFLateral, the peak of sit-to-stand was the largest, followed by stand-to-sit or stair descent, and finally normal walking or stair ascent. This study is valuable for further understanding the biomechanics of a healthy knee joint and providing theoretical guidance for the treatment of knee osteoarthritis (KOA).The objective of this study was to develop a musculoskeletal model incorporated with a subject-specific knee joint to predict the tibiofemoral contact force (TFCF) during daily motions. For this purpose, 18 healthy participants were recruited to perform the motion data acquisition using synchronized motion capture and force platform systems, and motion simulation based on an improved musculoskeletal model for five daily activities, including normal walking, stair ascent, stair descent, sit-to-stand, and stand-to-sit. The proposed musculoskeletal model included subject-specific models of bones, cartilages, and meniscus, detailed knee ligaments and muscles, deformable elastic contacts, and multiple degrees of freedom (DOFs) of the knee joint. The prediction accuracy was demonstrated by the good agreements of TFCF curves between the model predictions and in vivo measurements for the five activities (RMSE: 0.216~0.311 BW, R2: 0.928~0.992, and CE: 0.048~0.141). Based on the validated model, the TFCF on total, medial, and lateral compartments (TFCFTotal, TFCFMedial, and TFCFLateral) during the five daily activities were predicted. For TFCFTotal, the peak force for stair descent or sit-to-stand was the largest, followed by stair ascent or stand-to-sit, and finally normal walking. For TFCFMedial, stair descent had the largest peak, followed by stair ascent. There were no significant differences between the peak TFCFMedial values of normal walking, sit-to-stand, and stand-to-sit. For TFCFLateral, the peak of sit-to-stand was the largest, followed by stand-to-sit or stair descent, and finally normal walking or stair ascent. This study is valuable for further understanding the biomechanics of a healthy knee joint and providing theoretical guidance for the treatment of knee osteoarthritis (KOA). |
| Audience | Academic |
| Author | Xu, Peng Li, Hui Wan, Xianjie Wei, Pingping Zhu, Aibin Zhang, Li |
| AuthorAffiliation | 1 Honghui Hospital, Xi’an Jiaotong University, Xi’an 710054, China; xjtuzhangli@xjtu.edu.cn (L.Z.); drlihuiortho@gmail.com (H.L.); wxj951216@163.com (X.W.) 2 Shaanxi Key Laboratory of Intelligent Robots, Institute of Robotics and Intelligent Systems, Xi’an Jiaotong University, Xi’an 710049, China; abzhu@mail.xjtu.edu.cn 3 State Key Laboratory for Manufacturing Systems Engineering, Xi’an Jiaotong University, Xi’an 710054, China; erin.wei@mail.xjtu.edu.cn |
| AuthorAffiliation_xml | – name: 1 Honghui Hospital, Xi’an Jiaotong University, Xi’an 710054, China; xjtuzhangli@xjtu.edu.cn (L.Z.); drlihuiortho@gmail.com (H.L.); wxj951216@163.com (X.W.) – name: 3 State Key Laboratory for Manufacturing Systems Engineering, Xi’an Jiaotong University, Xi’an 710054, China; erin.wei@mail.xjtu.edu.cn – name: 2 Shaanxi Key Laboratory of Intelligent Robots, Institute of Robotics and Intelligent Systems, Xi’an Jiaotong University, Xi’an 710049, China; abzhu@mail.xjtu.edu.cn |
| Author_xml | – sequence: 1 givenname: Li orcidid: 0000-0002-2535-3668 surname: Zhang fullname: Zhang, Li – sequence: 2 givenname: Hui surname: Li fullname: Li, Hui – sequence: 3 givenname: Xianjie orcidid: 0000-0002-2749-3621 surname: Wan fullname: Wan, Xianjie – sequence: 4 givenname: Peng surname: Xu fullname: Xu, Peng – sequence: 5 givenname: Aibin orcidid: 0000-0002-6346-4932 surname: Zhu fullname: Zhu, Aibin – sequence: 6 givenname: Pingping surname: Wei fullname: Wei, Pingping |
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| Cites_doi | 10.1098/rsos.140449 10.1016/S0021-9290(00)00191-3 10.1016/j.medengphy.2004.07.004 10.1016/j.arthro.2016.07.030 10.1249/MSS.0b013e3181f257be 10.1016/j.jbiomech.2014.12.049 10.1016/j.jbiomech.2019.109451 10.1016/j.joca.2015.11.009 10.1016/j.clinbiomech.2024.106287 10.1155/2021/6231406 10.2519/jospt.2018.7459 10.3390/bioengineering11090896 10.1002/art.38374 10.1016/j.medengphy.2016.12.001 10.1016/j.medengphy.2016.04.010 10.1115/1.4032464 10.1002/jor.23181 10.1080/10255842.2014.889689 10.1123/jab.22.4.305 10.1016/j.medengphy.2013.12.007 10.3389/fbioe.2023.1254661 10.1016/j.jbiomech.2018.01.021 10.2522/ptj.20060378 10.1080/10255840903389989 10.1115/1.4039578 10.20944/preprints202402.1343.v1 10.1002/jor.23171 10.1016/j.jbiomech.2017.08.025 10.1016/j.eclinm.2020.100587 10.1016/j.jbiomech.2013.12.010 10.1016/j.jbiomech.2005.04.030 10.1016/j.jbiomech.2019.07.001 10.1016/j.clinbiomech.2006.10.003 10.3390/s19071681 10.1093/ptj/82.9.866 10.1007/s11044-017-9564-9 10.1115/1.4029258 10.1016/j.clinbiomech.2016.06.008 10.1177/03635465030310062101 10.3390/bioengineering11020173 10.1302/0301-620X.81B1.0810037 10.1115/1.4026358 |
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| Keywords | subject-specific knee model tibiofemoral contact force musculoskeletal model gait analysis |
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| Title | Prediction of In Vivo Knee Mechanics During Daily Activities Based on a Musculoskeletal Model Incorporated with a Subject-Specific Knee Joint |
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