LLMKA: A Matlab-based toolbox for musculoskeletal kinematics analysis of lower limbs_Chinese Journal of Reparative and Reconstructive Surgery

Authors：

LI Shiqi ¹ , NIE Yong ² , WANG Junqing ³ ,  LI Kang ³ ,  SHEN Bin ²

1. College of Electrical Engineering, Sichuan University, Chengdu Sichuan, 610041, P. R. China;
2. Orthopedic Research Institute, Department of Orthopedics, West China Hospital, Sichuan University, Chengdu Sichuan, 610041, P. R. China;
3. West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu Sichuan, 610041, P. R. China;

Corresponding?author：

LI Kang, Email: likang@wchscu.cn; SHEN Bin, Email: shenbin_1971@163.com

Keywords：

OpenSim; LLMKA toolbox; musculoskeletal kinematics analysis; consistency; efficiency improvement

DOI：

10.7507/1002-1892.202202033

Video：

Export PDF Favorites Scan Get Citation

Abstract Full text Figures/Tables Video References Cited by

Objective To develop a Matlab toolbox to improve the efficiency of musculoskeletal kinematics analysis while ensuring the consistency of musculoskeletal kinematics analysis process and results. Methods Adopted the design concept of “Batch processing tedious operation”, based on the Matlab connection OpenSim interface function ensures the consistency of musculoskeletal kinematics analysis process and results, the functional programming was applied to package the five steps for scale, inverse kinematics analysis, residual reduction algorithm, static optimization analysis, and joint reaction analysis of musculoskeletal kinematics analysis as functional functions, and command programming was applied to analyze musculoskeletal movements in large numbers of patients. A toolbox called LLMKA (Lower Limbs Musculoskeletal Kinematics Analysis) was developed. Taking 120 patients with medial knee osteoarthritis as the research object, a clinical researcher was selected using the LLMKA toolbox and OpenSim to test whether the analysis process and results were consistent between the two methods. The researcher used the LLMKA toolbox again to conduct musculoskeletal kinematics analysis in 120 patients to verify whether the use of this toolbox could improve the efficiency of musculoskeletal kinematics analysis compared with using OpenSim. Results Using the LLMKA toolbox could analyze musculoskeletal kinematics analysis in a large number of patients, and the analysis process and results were consistent with the use of OpenSim. Compared to using OpenSim, musculoskeletal kinematics analysis was completed in 120 patients using the LLMKA toolbox with only 2 operations were needed to enter the patient body mass data, operating steps decreased by 99.19%, total analysis time by 66.84%, and manual participation time by 99.72%, just need 0.079 1 hour (4 minutes and 45 seconds). Conclusion The LLMKA toolbox can complete a large number of musculoskeletal kinematics analysis in patients with one click in a way that is consistent in process and results with using OpenSim, reducing the total time of musculoskeletal kinematics analysis, and liberating clinical researchers from cumbersome steps, making more energy into the clinical significance of musculoskeletal kinematics analysis results.

Citation： LI Shiqi, NIE Yong, WANG Junqing, LI Kang, SHEN Bin. LLMKA: A Matlab-based toolbox for musculoskeletal kinematics analysis of lower limbs. Chinese Journal of Reparative and Reconstructive Surgery, 2022, 36(5): 525-533. doi: 10.7507/1002-1892.202202033 Copy

1.	Loeb GE, Davoodi R. Musculoskeletal mechanics and modeling. Scholarpedia, 2016, 11(11): 12389. doi:10.4249/scholarpedia.12389.
2.	Saxby DJ, Modenese L, Bryant AL, et al. Tibiofemoral contact forces during walking, running and sidestepping. Gait Posture, 2016, 49: 78-85.
3.	游永豪, 盧桂兵, 邵夢霓, 等. 雙膝骨關節炎對女性老年人踝關節策略動態平衡能力的影響. 醫用生物力學, 2021, 36(3): 459-464.
4.	朱正飛, 王玲, 李滌塵, 等. 膝骨性關節炎合并內翻畸形患者運動特征研究. 生物醫學工程學雜志, 2018, 35(1): 38-44.
5.	杜剛, 李政甜, 勞山, 等. 機器人輔助膝關節單髁置換術對坐起動作時膝關節生物力學的影響. 中國修復重建外科雜志, 2021, 35(10): 1259-1264.
6.	宋和勝, 錢競光, 唐瀟. 基于軟件OpenSim的人體運動建模理論及其應用領域概述. 醫用生物力學, 2015, 30(4): 373-379.
7.	羅林聰, 馬立敏, 林澤, 等. 基于AnyBody骨骼肌肉多體動力學分析的有限元仿真. 醫用生物力學, 2019, 34(3): 237-242, 250.
8.	穆雪蓮, 周興龍. OpenSim工作原理及其應用概述. 第十九屆全國運動生物力學學術交流大會, 2017.
9.	郭超, 何育民, 孫朝陽, 等. OpenSim環境下人體下肢行走生物力學特性研究. 機械科學與技術, 2021, 40(9): 1355-1360.
10.	Yu J, Zhang S, Wang A, et al. Human gait analysis based on OpenSim. 2020 International Conference on Advanced Mechatronic Systems (ICAMechS), 2020: 278-281.
11.	Seth A, Sherman M, Reinbolt JA, et al. OpenSim: a musculoskeletal modeling and simulation framework for in silico investigations and exchange. Procedia IUTAM, 2011, 2: 212-232.
12.	Barre A, Armand S. Biomechanical ToolKit: Open-source framework to visualize and process biomechanical data. Comput Methods Programs Biomed, 2014, 114(1): 80-87.
13.	Mantoan A, Pizzolato C, Sartori M, et al. MOtoNMS: A MATLAB toolbox to process motion data for neuromusculoskeletal modeling and simulation. Source Code Biol Med, 2015, 10: 12. doi: 10.1186/s13029-015-0044-4.
14.	Sun K, Wang H, Bai Y, et al. MRIES: A Matlab toolbox for mapping the responses to intracranial electrical stimulation. Front Neurosci, 2021, 15: 652841. doi: 10.3389/fnins.2021.652841.
15.	Deng QY, Chen X. An image processing toolbox based on MATLAB GUI. J Phys Conf Ser, 2021. doi:10.1088/1742-6596/2010/1/012137.
16.	Muller A, Pontonnier C, Puchaud P, et al. CusToM: a Matlab toolbox for musculoskeletal simulation. Journal of Open Source Software, 2019, 4(33): 927. doi: 10.21105/joss.00927.
17.	Shourijeh MS, Smale KB, Potvin BM, et al. A forward-muscular inverse-skeletal dynamics framework for human musculoskeletal simulations. J Biomech, 2016, 49(9): 1718-1723.
18.	Bedo BLS, Mantoan A, Catelli DS, et al. BOPS: a Matlab toolbox to batch musculoskeletal data processing for OpenSim. Comput Methods Biomech Biomed Engin, 2021, 24(10): 1104-1114.
19.	Lee LF, Umberger BR. Generating optimal control simulations of musculoskeletal movement using OpenSim and MATLAB. PeerJ, 2016, 4: e1638. doi: 10.7717/peerj.1638.
20.	王雨昕. 基于OpenSim/MATLAB的膝關節康復訓練控制研究. 哈爾濱: 哈爾濱工程大學, 2019.
21.	孫利鑫, 陳騏, 郝衛亞. 兩種不同肌肉力求解算法的對比分析. 醫用生物力學, 2022. http://kns.cnki.net/kcms/detail/31.1624.R.20210924.2149.005.html.
22.	王學瑞. 函數式編程語言發展及應用. 計算機光盤軟件與應用, 2012, 15(23): 181-182.
23.	Do?an N?. Bland-Altman analysis: A paradigm to understand correlation and agreement. Turk J Emerg Med, 2018, 18(4): 139-141.
24.	Bunce C. Correlation, agreement, and Bland-Altman analysis: statistical analysis of method comparison studies. Am J Ophthalmol, 2009, 148(1): 4-6.
25.	Mansouri M, Reinbolt JA. A platform for dynamic simulation and control of movement based on OpenSim and MATLAB. J Biomech, 2012, 45(8): 1517-1521.

1. Loeb GE, Davoodi R. Musculoskeletal mechanics and modeling. Scholarpedia, 2016, 11(11): 12389. doi:10.4249/scholarpedia.12389.
2. Saxby DJ, Modenese L, Bryant AL, et al. Tibiofemoral contact forces during walking, running and sidestepping. Gait Posture, 2016, 49: 78-85.
3. 游永豪, 盧桂兵, 邵夢霓, 等. 雙膝骨關節炎對女性老年人踝關節策略動態平衡能力的影響. 醫用生物力學, 2021, 36(3): 459-464.
4. 朱正飛, 王玲, 李滌塵, 等. 膝骨性關節炎合并內翻畸形患者運動特征研究. 生物醫學工程學雜志, 2018, 35(1): 38-44.
5. 杜剛, 李政甜, 勞山, 等. 機器人輔助膝關節單髁置換術對坐起動作時膝關節生物力學的影響. 中國修復重建外科雜志, 2021, 35(10): 1259-1264.
6. 宋和勝, 錢競光, 唐瀟. 基于軟件OpenSim的人體運動建模理論及其應用領域概述. 醫用生物力學, 2015, 30(4): 373-379.
7. 羅林聰, 馬立敏, 林澤, 等. 基于AnyBody骨骼肌肉多體動力學分析的有限元仿真. 醫用生物力學, 2019, 34(3): 237-242, 250.
8. 穆雪蓮, 周興龍. OpenSim工作原理及其應用概述. 第十九屆全國運動生物力學學術交流大會, 2017.
9. 郭超, 何育民, 孫朝陽, 等. OpenSim環境下人體下肢行走生物力學特性研究. 機械科學與技術, 2021, 40(9): 1355-1360.
10. Yu J, Zhang S, Wang A, et al. Human gait analysis based on OpenSim. 2020 International Conference on Advanced Mechatronic Systems (ICAMechS), 2020: 278-281.
11. Seth A, Sherman M, Reinbolt JA, et al. OpenSim: a musculoskeletal modeling and simulation framework for in silico investigations and exchange. Procedia IUTAM, 2011, 2: 212-232.
12. Barre A, Armand S. Biomechanical ToolKit: Open-source framework to visualize and process biomechanical data. Comput Methods Programs Biomed, 2014, 114(1): 80-87.
13. Mantoan A, Pizzolato C, Sartori M, et al. MOtoNMS: A MATLAB toolbox to process motion data for neuromusculoskeletal modeling and simulation. Source Code Biol Med, 2015, 10: 12. doi: 10.1186/s13029-015-0044-4.
14. Sun K, Wang H, Bai Y, et al. MRIES: A Matlab toolbox for mapping the responses to intracranial electrical stimulation. Front Neurosci, 2021, 15: 652841. doi: 10.3389/fnins.2021.652841.
15. Deng QY, Chen X. An image processing toolbox based on MATLAB GUI. J Phys Conf Ser, 2021. doi:10.1088/1742-6596/2010/1/012137.
16. Muller A, Pontonnier C, Puchaud P, et al. CusToM: a Matlab toolbox for musculoskeletal simulation. Journal of Open Source Software, 2019, 4(33): 927. doi: 10.21105/joss.00927.
17. Shourijeh MS, Smale KB, Potvin BM, et al. A forward-muscular inverse-skeletal dynamics framework for human musculoskeletal simulations. J Biomech, 2016, 49(9): 1718-1723.
18. Bedo BLS, Mantoan A, Catelli DS, et al. BOPS: a Matlab toolbox to batch musculoskeletal data processing for OpenSim. Comput Methods Biomech Biomed Engin, 2021, 24(10): 1104-1114.
19. Lee LF, Umberger BR. Generating optimal control simulations of musculoskeletal movement using OpenSim and MATLAB. PeerJ, 2016, 4: e1638. doi: 10.7717/peerj.1638.
20. 王雨昕. 基于OpenSim/MATLAB的膝關節康復訓練控制研究. 哈爾濱: 哈爾濱工程大學, 2019.
21. 孫利鑫, 陳騏, 郝衛亞. 兩種不同肌肉力求解算法的對比分析. 醫用生物力學, 2022. http://kns.cnki.net/kcms/detail/31.1624.R.20210924.2149.005.html.
22. 王學瑞. 函數式編程語言發展及應用. 計算機光盤軟件與應用, 2012, 15(23): 181-182.
23. Do?an N?. Bland-Altman analysis: A paradigm to understand correlation and agreement. Turk J Emerg Med, 2018, 18(4): 139-141.
24. Bunce C. Correlation, agreement, and Bland-Altman analysis: statistical analysis of method comparison studies. Am J Ophthalmol, 2009, 148(1): 4-6.
25. Mansouri M, Reinbolt JA. A platform for dynamic simulation and control of movement based on OpenSim and MATLAB. J Biomech, 2012, 45(8): 1517-1521.

Next Article
Study on the accuracy of automatic segmentation of knee CT images based on deep learning

Chinese Journal of Reparative and Reconstructive Surgery

LLMKA: A Matlab-based toolbox for musculoskeletal kinematics analysis of lower limbs

Abstract Full text Figures/Tables Video References Cited by

Next Article

Format

Content