ITM Web Conf.
Volume 29, 20191st International Conference on Computational Methods and Applications in Engineering (ICCMAE 2018)
|Number of page(s)||7|
|Section||Computational Methods in Mechanical Engineering|
|Published online||15 October 2019|
- 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]
- 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]
- 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]
- 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]
- 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]
- 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]
- A.J.J. Smith, E.D. Lemaire, Temporal-spatial gait parameter models of very slow walking, Gait&Posture, 61, 125–129 (2018). [Google Scholar]
- L.H. Sloot, M.M. van der Krogt, J. Harlaar, Self-paced versus fixed speed treadmill walking, 39, 478–484 (2014). [Google Scholar]
- 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]
- 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]
- 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]
- 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]
- 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]
- R. Luca, Statistical analysis of some parameters describing human locomotion, Proceedings of 5th IEEE International Conference on E-Health and Bioengineering, 2015 [Google Scholar]
- Tarnita, D., D-B Marghitu, Nonlinear dynamics of normal and osteoarthritic human knee, Proceedings of the Romanian Academy, pp. 353–360, 2017. [Google Scholar]
- 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]
- J. Hamill, K.M. Knutzen, Biomechanical Basics of Human Movement, Second edition, Lippincott Williams &Wilkins, 2003. [Google Scholar]
- 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]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.