[논문]Prediction of medial and lateral contact force of the knee joint during normal and turning gait after total knee replacement

Purevsuren, Tserenchimed; Dorj, Ariunzaya; Kim, Kyungsoo; Kim, Yoon Hyuk

doi:10.1177/0954411916634750

Prediction of medial and lateral contact force of the knee joint during normal and turning gait after total knee replacement

Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine, v.230 no.4, 2016년, pp.288 - 297

Purevsuren, Tserenchimed (Department of Mechanical Engineering, Kyung Hee University, Yongin, Korea) , Dorj, Ariunzaya (Department of Mechanical Engineering, Kyung Hee University, Yongin, Korea) , Kim, Kyungsoo (Department of Applied Mathematics, Kyung Hee University, Yongin, Korea) , Kim, Yoon Hyuk (Department of Mechanical Engineering, Kyung Hee University, Yongin, Korea)

Abstract ▼ AI-Helper

The computational modeling approach has commonly been used to predict knee joint contact forces, muscle forces, and ligament loads during activities of daily living. Knowledge of these forces has several potential applications, for example, within design of equipment to protect the knee joint from injury and to plan adequate rehabilitation protocols, although clinical applications of computational models are still evolving and one of the limiting factors is model validation. The objective of this study was to extend previous modeling technique and to improve the validity of the model prediction using publicly available data set of the fifth Grand Challenge Competition to Predict In Vivo Knee Loads. A two-stage modeling approach, which combines conventional inverse dynamic analysis (the first stage) with a multi-body subject-specific lower limb model (the second stage), was used to calculate medial and lateral compartment contact forces. The validation was performed by direct comparison of model predictions and experimental measurement of medial and lateral compartment contact forces during normal and turning gait. The model predictions of both medial and lateral contact forces showed strong correlations with experimental measurements in normal gait (r=0.75 and 0.71) and in turning gait trials (r=0.86 and 0.72), even though the current technique over-estimated medial compartment contact forces in swing phase. The correlation coefficient, Sprague and Geers metrics, and root mean squared error indicated that the lateral contact forces were predicted better than medial contact forces in comparison with the experimental measurements during both normal and turning gait trials.

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참고문헌 (36)

D’Lima, Darryl D, Fregly, Benjamin J, Patil, Shantanu, Steklov, Nikolai, Colwell Jr, Clifford W. Knee joint forces: prediction, measurement, and significance. Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine, vol.226, no.2, 95-102.

상세보기
J Orthop Res Shelburne KB 1983 24 2006 10.1002/jor.20255

상세보기
J Biomech Winby CR 2294 42 2009 10.1016/j.jbiomech.2009.06.019

상세보기
Med Sci Sports Exerc Shelburne KB 642 37 2005 10.1249/01.MSS.0000158187.79100.48

상세보기
J Biomech Bahatnagar T 2261 43 2010 10.1016/j.jbiomech.2010.05.001

상세보기
J Orthop Res Kim HJ 1326 27 2009 10.1002/jor.20876

상세보기
J Biomech Lin YC 945 43 2010 10.1016/j.jbiomech.2009.10.048

상세보기
J Orthop Res Fregly BJ 1016 27 2009 10.1002/jor.20843

상세보기
J Biomech Varadarajan KM 2159 41 2008 10.1016/j.jbiomech.2008.04.021

상세보기
PloS ONE Bergmann G 2014
J Orthop Res Fregly BJ 503 30 2012 10.1002/jor.22023

상세보기
J Biomech Eng Kinney AL 021012 135 2 2013 10.1115/1.4023255

상세보기
Manal, Kurt, Buchanan, Thomas S.. An Electromyogram-Driven Musculoskeletal Model of the Knee to Predict in Vivo Joint Contact Forces During Normal and Novel Gait Patterns. Journal of biomechanical engineering, vol.135, no.2, 021014-.

상세보기
J Biomech Eng Lundberg HJ 021015 135 2 2013 10.1115/1.4023388

상세보기
J Biomech Eng Guess TM 021032 136 2 2014 10.1115/1.4026359

상세보기
Med Eng Phys Kia M 335 36 2014 10.1016/j.medengphy.2013.12.007

상세보기
J Biomech Eng Stylianou AP 041008 135 4 2013 10.1115/1.4023982

상세보기
J Biomech Eng Hast MW 021013 135 2 2013 10.1115/1.4023320

상세보기
ASME conference on bioengineering Kim YH
J Biomech Eng Thelen DG 021033 136 2014 10.1115/1.4026358

상세보기
J Biomech Eng Marra MA 020904 137 2015 10.1115/1.4029258

상세보기
J Orthop Res Taylor WR 625 22 2004 10.1016/j.orthres.2003.09.003

상세보기
Med Sci Sports Exerc Shelburne KB 1948 37 2005 10.1249/01.mss.0000180404.86078.ff

상세보기
Comput Math Methods Med Nha KW 314280 2013 2013
Hum Movement Sci Bell AL 3 8 1989 10.1016/0167-9457(89)90020-1

상세보기
J Biomech Wu G 543 35 2002 10.1016/S0021-9290(01)00222-6

상세보기
J Biomech Eng Grood ES 136 105 1983 10.1115/1.3138397

상세보기
IEEE Trans Biomed Eng Delp SL 1940 54 2007 10.1109/TBME.2007.901024

상세보기
J Biomech DeLeva P. 1223 29 1996 10.1016/0021-9290(95)00178-6

상세보기
J Biomech Blankevoort L 1019 24 1991 10.1016/0021-9290(91)90019-J

상세보기
Comput Math Methods Med Kwon OS 8 2014 2014
Comput Methods Biomech Biomed Engin Purevsuren T 1606 18 2015 10.1080/10255842.2014.936857

상세보기
Eng Comput Schwer LE. 295 23 2007 10.1007/s00366-007-0070-1

상세보기
J Arthroplasty Levinger P 994 28 2013 10.1016/j.arth.2012.10.018

상세보기
Arthritis Rheum Ouellet D 484 47 2002 10.1002/art.10652

상세보기
Clin Biomech Smith AJ 379 21 2006 10.1016/j.clinbiomech.2005.11.007

상세보기

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Prediction of medial and lateral contact force of the knee joint during normal and turning gait after total knee replacement

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