Study on Human Musculoskeletal Biomechanics Based on China Digital Human Project

Article Preview

Abstract:

Modeling and simulating of human musculoskeletal system is an important and challenging problem. This paper is aimed to build a computational platform to conquer this problem based on the China digital human project. First the 3D anatomical models of human musculoskeletal system were reconstructed and integrated. Second, the finite element models of human skeleton system were built. In the end, a computational platform, which integrated the models and six related analysis modules, was developed to model and simulate human musculoskeletal system. A case study of subject’s gait was implemented to demonstrate that this computational platform had potential in research of human musculoskeletal biomechanics.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

5131-5135

Citation:

Online since:

October 2011

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2012 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Marco Viceconti, Debora Testi, Fulvia Taddei, et. al, 2006, Biomechanics Modeling of the Musculoskeletal Apparatus: Status and Key Issues, Proceedings of The IEEE, 4, 725-739.

DOI: 10.1109/jproc.2006.871769

Google Scholar

[2] S. Van Sint Jan., 2005, Introducing Anatomical and Physiological Accuracy in Computerized Anthropometry for Increasing the Clinical Usefulness of Modeling Systems, Critical Reviews of Physical and Rehabilitation Medicine, 4, 249-274.

DOI: 10.1615/critrevphysrehabilmed.v17.i4.10

Google Scholar

[3] Ernest J. Cheng, Ian E. Brown, Gerald E. Loeb, 2000, Virtual muscle: a computational approach to understanding the effects of muscle properties on motor control, Journal of Neuroscience methods, 1, 117-130.

DOI: 10.1016/s0165-0270(00)00258-2

Google Scholar

[4] Gary Tad Yamaguchi, 2006, Dynamic modeling of musculoskeletal motion: a vectorized approach for biomechanical analysis in three dimensions, ( Springer, New York, USA), Chap. 6.

Google Scholar

[5] Felix E. Zajac, 1989, Muscle and Tendon: Properties, Models, Scaling, and Application to Biomechanics and Motor Control, Critical Reviews in Biomedical Engineering, 4, 359-411.

Google Scholar

[6] T. Spagele, A. Kistner, A. Gollhofer, 1999, Modeling, simulation and optimization of a human vertical jump, Journal of biomechanics, 32, 521-530.

DOI: 10.1016/s0021-9290(98)00145-6

Google Scholar

[7] Pipeleers, G., B. Demeulenaere, et al. 2008, Dynamic simulation of human motion: numerically efficient inclusion of muscle physiology by convex optimization, Optimization and engineering, 9, 213-238.

DOI: 10.1007/s11081-007-9010-6

Google Scholar

[8] Scott L. Delp, J. Peter Loan, 2000, A Computational Framework for Simulating and Analyzing Human and Animal Movement, Computing in Science and Engineering , 6, 46-55.

DOI: 10.1109/5992.877394

Google Scholar

[9] Scott L. Delp, Frank C. Anderson, Allison S. Amold, et. al, 2007, OpenSim: Open-Source Software to Create and Analyze Dynamic Simulations of Movement, IEEE Transactions on Biomedical Engineering, 4, 1940-(1950).

DOI: 10.1109/tbme.2007.901024

Google Scholar

[10] John Rasmussen, Michael Damsgaard, Egidijus Surma, et. al, 2003, Anybody-a software system for ergonomic optimization, Fifth World Congress on Structural and Multidisciplinary Optimization, May 19-23, Italy.

Google Scholar

[11] Chengtao Wang, 2006, Mechanical Virtual Human of China, Journal of Medical Biomechanics, 3, 172-178.

Google Scholar

[12] SX Zhang, PA Heng, ZJ Liu, et. al, 2004, The Chinese Visible Human (CVH) Datasets Incorporate Technical and Imaging Advances on Earlier Digital Humans, J Anatomy, 5, 165-173.

Google Scholar

[13] Peter Kohl, Denis Noble, Rainmond L., et. al, 2000, Computational Modeling of Biological Systems: Tools and Visions, Philosophical Transactions: Mathematical, Physical and Engineering Sciences, 1, 579-610.

DOI: 10.1098/rsta.2000.0547

Google Scholar

[14] Peter J. Hunter, 2006, Modeling Human Physiology: The IUPS/EMBS Physiome Project, Proceedings of the IEEE, 4, 678-691.

DOI: 10.1109/jproc.2006.871767

Google Scholar

[15] M. G. Pandy, 2001, Computer modeling and simulation of human movement, Annu. Rev. Biomed. Eng., 3, 245-273.

DOI: 10.1146/annurev.bioeng.3.1.245

Google Scholar

[16] Les A. Piegl, Wayne Tiller, 1996, The Nurbs Book. 2nd Edition, (Springer, Berlin GER, ), chap. 9.

Google Scholar

[17] Wu G., Cavanagh P.R. 1995, ISB recommendations for standardization in the reporting data, J Biomech., 28, 1257-1261.

DOI: 10.1016/0021-9290(95)00017-c

Google Scholar

[18] Wu G, Siegler S, Allard P, Kirtley C, Leardini A, Rosenbaum D, et al. 2002, ISB recommendation on definitions of joint coordinate systems of various joints for the reporting of human joint motion—Part Ⅰ: ankle, hip, spine. J Biomech., 35 , 543-548.

DOI: 10.1016/s0021-9290(01)00222-6

Google Scholar

[19] Wu G, van der Helm FC, Veeger H, Makhsous M, Van Roy P, Anglin C, et al. 2005, ISB recommendation on definitions of joint coordinate systems of various joints for the reporting of human joint motion—Part Ⅱ: shoulder, elbow, wrist and hand. J Biomech., 38, 981-992.

DOI: 10.1016/j.jbiomech.2004.05.042

Google Scholar

[20] Wenguang Guo, Xu Wang, 2000, Colour Atlas of Human Anatomy, (People Medical Publishing House, Beijing, China, ), Chap. 3.

Google Scholar

[21] Taddei F., L. Cristofolini, et al. 2006, Subject-specific finite element models of long bones: An in vitro evaluation of the overall accuracy. Journal of Biomechanics, 39, 2457-2467.

DOI: 10.1016/j.jbiomech.2005.07.018

Google Scholar