A 3D PHYSICS-BASED MODEL TO SIMULATE NORMAL AND PATHOLOGICAL GAIT PATTERNS

Christian Cifuentes, Fabio Martínez, Eduardo Romero

Abstract

This article presents a novel 3D physics-based human gait model that allows to quantify and simulate the dynamic patterns of normal and pathological movements in the sagittal and coronal views, using an enhanced inverted pendulum approach. The method outperforms the classic planar representations that do not consider important gait phases like the double stance phase and the heelstrike, crucial in proper gait descriptions on clinical routine. The model was assessed by simulating gait cycles and comparing the obtained trajectories with actual normal and pathological gait data. Results showed that the normal and pathological kinematic patterns generated by our model are highly similar to the actual data, obtaining an accuracy of about 87%.

References

  1. Blickhan, R. (1989). The spring-mass model for running and hopping. Journal of Biomechanics, 22:1217 - 1227.
  2. Delp, S. L., Anderson, F. C., Arnold, A. S., Loan, P., Habib, A., John, C. T., Guendelman, E., and Thelen, D. G. (2007). Opensim open source software to create and analyze dynamic simulations of movement. IEEE Trans Biomed Eng, 54:1940 - 1951.
  3. Fregly, B. J. (2008). Design of optimal treatments for neuromusculoskeletal disorders using patient-specific multibody dynamic models. Int J Comput Vision and Biomech, r:1-31.
  4. Gage, J. R. (2004). The Treatment of Gait Problems in Cerebral Palsy. Mac Keith Press.
  5. Garcia, M., Chatterjee, A., Ruina, A., and Coleman, M. (1998). The simplest walking model: Stability, complexity, and scaling. J Biomech Eng, d:1-15.
  6. Komura, T., Nagano, A., Kudoh, S., and Shinagawa, Y. (2004). Simulating pathological gait using the enhanced inverted pendulum model. J Biomech Eng, r:1-18.
  7. Kuo, A. D. and Donelan, J. M. (2010). Dynamic principles of gait and their clinical implications. Physical Therapy, 90(2):157-176.
  8. Trifonov, K. and Hashimoto, S. (2008). Active kneerelease mechanism for passive-dynamic walking machines and walking cycle re search. In IEEE/RSJ Int Conf on Intelligent Robots and Systems.
  9. Xiang, Y., Arora, J. S., and Abdel-Malek, K. (2010). Physics-based modeling and simulation of human walking: a review of optimization-based and other approaches. Struct Multidisc Optim, 42:1-23.
Download


Paper Citation


in Harvard Style

Cifuentes C., Martínez F. and Romero E. (2012). A 3D PHYSICS-BASED MODEL TO SIMULATE NORMAL AND PATHOLOGICAL GAIT PATTERNS . In Proceedings of the International Conference on Computer Graphics Theory and Applications and International Conference on Information Visualization Theory and Applications - Volume 1: GRAPP, (VISIGRAPP 2012) ISBN 978-989-8565-02-0, pages 197-201. DOI: 10.5220/0003862701970201


in Bibtex Style

@conference{grapp12,
author={Christian Cifuentes and Fabio Martínez and Eduardo Romero},
title={A 3D PHYSICS-BASED MODEL TO SIMULATE NORMAL AND PATHOLOGICAL GAIT PATTERNS},
booktitle={Proceedings of the International Conference on Computer Graphics Theory and Applications and International Conference on Information Visualization Theory and Applications - Volume 1: GRAPP, (VISIGRAPP 2012)},
year={2012},
pages={197-201},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003862701970201},
isbn={978-989-8565-02-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Graphics Theory and Applications and International Conference on Information Visualization Theory and Applications - Volume 1: GRAPP, (VISIGRAPP 2012)
TI - A 3D PHYSICS-BASED MODEL TO SIMULATE NORMAL AND PATHOLOGICAL GAIT PATTERNS
SN - 978-989-8565-02-0
AU - Cifuentes C.
AU - Martínez F.
AU - Romero E.
PY - 2012
SP - 197
EP - 201
DO - 10.5220/0003862701970201