Open Access
Issue
ITM Web Conf.
Volume 29, 2019
1st International Conference on Computational Methods and Applications in Engineering (ICCMAE 2018)
Article Number 02010
Number of page(s) 7
Section Computational Methods in Mechanical Engineering
DOI https://doi.org/10.1051/itmconf/20192902010
Published online 15 October 2019
  1. P.W. Duncan, K.J. Sullivan, A.L. Behrman, S.P. Azen, S.S. Wu, S.E. Nadeau, B.H. Dobkin, D.K. Rose, J.K. Tilson, S. Cen, S.K. Hayden, Body-weight-supported treadmill rehabilitation after stroke, N Eng J Med 2011; 364:2026–2036 (2011) [Google Scholar]
  2. M. Wu, J.M. Landry, B.D. Schmit, T.G. Hornby, S.-C. Yen, Robotic resistance treadmill training improves locomotor function in human spinal cord injury: a pilot study, Archives of Physical Medicine and Rehabilitation, 93(5), 782–789 (2012). [CrossRef] [Google Scholar]
  3. A. Pepin, K.E. Norman, H. Barbeau, Treadmill walking in incomplete spinal-cord- injured subjects: 1. Adaption to changes in speed, Spinal Cord, 41, 257–270 (2003). [CrossRef] [Google Scholar]
  4. H. Houdijk, M.W. van Ooijen, J.J. Kraal, H.O. Wiggerts, W. Polomski, T.W.J. Janssen, M. Roerdink, Assessing Gait Adaptability in People With a Unilateral Amputation on an Instrumented Treadmill With a Projected Visual Context, Physical Therapy, 92(11), 1452–1460 (2012). [CrossRef] [Google Scholar]
  5. D.I. Stoia, C. Vigaru, L. Rusu, Relative and absolute angles computed from pathologic gait data, Springer Proceedings in Physics, 198, 201–206 (2018). [CrossRef] [Google Scholar]
  6. C.A. Fukuchi, R.K. Fukuchi, M. Duarte, A public dataset of overground and treadmill walking kinematics and kinetics in healthy individuals, PeerJ, 6, e4640 (2018). [CrossRef] [Google Scholar]
  7. A.J.J. Smith, E.D. Lemaire, Temporal-spatial gait parameter models of very slow walking, Gait&Posture, 61, 125–129 (2018). [Google Scholar]
  8. L.H. Sloot, M.M. van der Krogt, J. Harlaar, Self-paced versus fixed speed treadmill walking, 39, 478–484 (2014). [Google Scholar]
  9. B.M.M. Gaffney, C.L. Christiansen, A.M. Murray, A.K. Silverman, B.S. Davidson, Separation of rotational and translational segmental momentum to assess movement coordination during walking, Human Movement Science, 51, 99–111 (2017). [CrossRef] [Google Scholar]
  10. J Li, S Wang, Q Zhang, C Tao, R Ji, Effects of Treadmill Speed on Joint Angles of Human Lower Limbs During Walking, Computer Science and Engineering Technology (CSET2015), Medical Science and Biological Engineering (MSBE2015). [Google Scholar]
  11. S. Focke Martinez; O. Kuzmicheva; A. Gräser, Prediction of characteristic points of hip and knee joint trajectories during overground walking using IMUs and Artificial Neural Networks, 2016 IEEE International Symposium on Medical Measurements and Applications (MeMeA), (2016). [Google Scholar]
  12. Sun, J., Wang, Y., Li, J., Wan, W., Cheng, D., Zhang, H., View-invariant gait recognition based on kinect skeleton feature, Multimed Tools Appl, 77(295) (2018). [Google Scholar]
  13. D Tarnita, M Catana, DN Tarnita, Nonlinear analysis of normal human gait for different activities with application to bipedal locomotion, Rom. J. Techn. Sci. - Appl. Mechanics., 58(1–2), 177–192 (2013). [Google Scholar]
  14. R. Luca, Statistical analysis of some parameters describing human locomotion, Proceedings of 5th IEEE International Conference on E-Health and Bioengineering, 2015 [Google Scholar]
  15. Tarnita, D., D-B Marghitu, Nonlinear dynamics of normal and osteoarthritic human knee, Proceedings of the Romanian Academy, pp. 353–360, 2017. [Google Scholar]
  16. Tarnita, D., Georgescu, M., Tarnita, D.N., Applications of Nonlinear Dynamics to Gait Analysis on Plane& Inclined Treadmill, New Trends in Medical and Service Robots, Springer Publishing House, Vol 39, 59–73, 2016. [CrossRef] [Google Scholar]
  17. J. Hamill, K.M. Knutzen, Biomechanical Basics of Human Movement, Second edition, Lippincott Williams &Wilkins, 2003. [Google Scholar]
  18. Dempster, W.T. (Wilfrid Taylor), Space requirements of the seated operator: geometrical, kinematic, and mechanical aspects of the body, with special reference to the limbs, 1955 [Google Scholar]

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