|Table of Contents|

[1] Zhao Lingyan, Ma Xiaohao, Zhang Bingzao, Wang Keyi, et al. Biomechanical research of knee joint during the process of running [J]. Journal of Southeast University (English Edition), 2017, 33 (1): 27-32. [doi:10.3969/j.issn.1003-7985.2017.01.005]

Biomechanical research of knee joint during the process of running()

Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

2017 1
Research Field:
Mathematics, Physics, Mechanics
Publishing date:


Biomechanical research of knee joint during the process of running
Zhao Lingyan Ma Xiaohao Zhang Bingzao Wang Keyi
College of Mechanical and Electrical Engineering, Harbin Engineering University, Harbin 150001, China
biomechanics knee joint mathematical model speed joint torque
To study the effect of speed on the biomechanics of a knee joint during running, a biomechanical model of human lower limb joints is established based on the Kane method and semi-physical simulation. Experiments on the running process were made at different speeds for healthy young men. The influence of running speed on knee joint motion is analyzed quantitatively and a mathematical model of the knee angle is established with speed as the independent variable. Results show that, at the moment of the heel contacting with the ground, with the increase of speed, the calf stretches forward more, and the calf and thigh are closer to the same line. In the middle stage of a gait cycle, the thigh stretches back, and then the calf and thigh are close to collineation. At that moment, the stretch of the posterior cruciate ligament is the largest, and the slower the speed, the more obvious the collineation. The maximal joint angle of the calf relative to the thigh appears in the later stage, and the maximal joint angle increases with the increase of the velocity. With the increase of the running speed, the phase of the curve of knee angle moves forward. The results can be used in the field of rehabilitation robotics and humanoid robot.


[1] Lu T W, Chang C F. Biomechanics of human movement and its clinical applications[J]. Kaohsiung Journal of Medical Sciences, 2012, 28(sup): S13-S25. DOI: 10.1016/j.kjms.2011.08.004.
[2] Zhang Y L, Ma Z J, Yu X. Relationship analysis of treadmill slope and knee motion mechanics [J]. Journal of Mudanjiang Teachers College(Natural Science Edition), 2011(1): 52-54.(in Chinese)
[3] Li J W, Li X W, Chen C C. Analysis of sport parameters of human on running machine[J]. Modern Computer, 2012(7): 10-14.(in Chinese)
[4] Salim M S, Maknoh F N, Omar N, et al. A biomechanical analysis of walking and running on a treadmill in different level of inclined surfaces[C]//International Conference on Biomedical Engineering. Perlis, Malaysia, 2012: 308-312.
[5] Yabe Y, Watanabe H, Taga G. Treadmill experience alters treadmill effects on perceived visual motion[J]. PLoS ONE, 2011, 6(7): e21642. DOI: 10.1371/journal.pone.0021642.
[6] Bartels W, Demol J, Gelaude F, et al. Computed tomography-based joint locations affect calculation of joint moments during gait when compared to scaling approaches[J]. Computer Methods in Biomechanics and Biomedical Engineering, 2015, 18(11): 1238-1251. DOI:10.1080/10255842.2014.890186.
[7] Wang L J. Research on rehabilitative robot prototype and gait control[D]. Harbin: College of Mechanical and Electrical Engineering, Harbin Engineering University, 2010: 17-19.(in Chinese)
[8] Piazza S J, Baxter J R, Celik H. Joint morphology and its relation to function in elite sprinters[J]. Procedia IUTAM, 2011, 2: 168-175. DOI: 10.1016/j.piutam.2011.04.017.
[9] Mijailovic N, Vulovic R, Milankovic I, et al. Assessment of knee cartilage stress distribution and deformation using motion capture system and wearable sensors for force ratio detection[J]. Computational and Mathematical Methods in Medicine, 2015, 2015: 963746. DOI:10.1155/2015/963746.
[10] Slawinski J, Bonnefoy A, Ontanon G, et al. Segment-interaction in sprint start: Analysis of 3D angular velocity and kinetic energy in elite sprinters[J]. Journal of Biomechanics, 2010, 43(8): 1494-1502. DOI: 10.1016/j.jbiomech.2010.01.044.
[11] Wu Z J, Zhao Z H, Tang L. SVM-based method for real time classification of pedestrian gait[J]. Electronic Measurement Technology, 2015, 38(7): 41-44.(in Chinese)
[12] Xiao F, Liu A M, Wu Y, et al. Comparison of biomechanical characteristics of the knee joint during forward walking and backward walking[J]. Journal of Medical Biomechanics, 2015, 30(3): 264-269.(in Chinese)
[13] Yang S Z, Laudanski A, Li Q G. Inertial sensors in estimating walking speed and inclination: An evaluation of sensor error models[J]. Medical & Biological Engineering & Computing, 2012, 50(4): 383-393. DOI:10.1007/s11517-012-0887-7.
[14] Yang X J, Li C L, Xia Y, et al. Design of a new gait acquisition system on the treadmill[J]. Chinese Journal of Sensors and Actuators, 2012, 25(6): 751-755.(in Chinese)
[15] Hamon A, Aoustin Y, Caro S. Two walking gaits for a planar bipedal robot equipped with a four-bar mechanism for the knee joint[J]. Multibody System Dynamics, 2013, 31(3): 283-307. DOI:10.1007/s11044-013-9382-7.


Biography: Zhao Lingyan(1981—), female, doctor, lecturer, zly6668837@163.com.
Foundation items: The National Natural Science Foundation of China(No.51405095), the Fundamental Research Funds for the Central Universities(No.HEUCF160706), the Technological Innovation Talent Special Fund of Harbin(No.2014RFQXJ037).
Citation: Zhao Lingyan, Ma Xiaohao, Zhang Bingzao, et al. Biomechanical research of knee joint during the process of running[J].Journal of Southeast University(English Edition), 2017, 33(1):27-32.DOI:10.3969/j.issn.1003-7985.2017.01.005.
Last Update: 2017-03-20