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Arshi, Ahmed Reza; Mehdizadeh, Sina; Davids, Keith (2015)
Publisher: Elsevier
Languages: English
Types: Article
Research has indicated that human walking is more unstable in the secondary, rather than primary plane of progression. However, the mechanisms of controlling dynamic stability in different planes of progression during running remain unknown. The aim of this study was to compare variability (standard deviation and coefficient of variation) and dynamic stability (sample entropy and local divergence exponent) in anterior–posterior and medio-lateral directions in forward and lateral running patterns. For this purpose, fifteen healthy, male participants ran in a forward and lateral direction on a treadmill at their preferred running speeds. Coordinate data of passive reflective markers attached to body segments were recorded using a motion capture system. Results indicated that: (1) there is lower dynamic stability in the primary plane of progression during both forward and lateral running suggesting that, unlike walking, greater control might be required to regulate dynamic stability in the primary plane of progression during running, (2) as in walking, the control of stability in anterior–posterior and medio-lateral directions of running is dependent on the direction of progression, and (3), quantifying magnitude of variability might not be sufficient to understand control mechanisms in human movement and directly measuring dynamic stability could be an appropriate alternative.
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    • 19 20 21 22 23 24 25 26 27 28 29 30 31 32 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 98 99 100 101 102 103 104 105 106 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 Arellano, C. J., & Kram, R. 2011. The effects of step width and arm swing on energetic cost and lateral balance during running. Journal of Biomechanics, 44(7), 1291-1295. doi:10.1016/j.jbiomech.2011.01.002
    • Balasubramanian, C. K., Neptune, R., & Kautz, S. 2010. Foot placement in a body reference frame during walking and its relationship to hemiparetic walking performance. Clinical Biomechanics (Bristol, Avon), 25(5), 483-490. doi: 10.1016/j.clinbiomech.2010.02.003
    • Bauby, C. E., & Kuo, a D. 2000. Active control of lateral balance in human walking. Journal of Biomechanics, 33(11), 1433-1440.
    • Bruijn, S. M., Meijer, O. G., Beek, P. J., & Dieën, J. H. Van. 2013. Assessing the stability of human locomotion: a review of current measures. Journal of the Royal Society Interface, 10, 20120999. doi: http://dx.doi.org/10.1098/rsif.2012.0999
    • Bruijn, S. M., van Dieën, J. H., Meijer, O. G., & Beek, P. J. 2009. Is slow walking more stable? Journal of Biomechanics, 42(10), 1506-1512. doi: 10.1016/j.jbiomech.2009.03.047 Cappellini, G., Ivanenko, Y. P., Poppele, R. E., & Lacquaniti, F. 2006. Motor patterns in human walking and running. Journal of Neurophysiology, 95(6), 3426-3437. doi: 10.1152/jn.00081.2006 Collins, S. H. , & Kuo, A. D. 2013. Two Independent Contributions to Step Variability during OverGround Human Walking. PLoS ONE, 8(8), e73597.
    • Rosenblatt, N. J., Hurt, C. P., Latash, M. L. & Grabiner, M. D. 2014. An apparent contradiction: increasing variability to achieve greater precision? Experimental Brain Research, 232, 403-413 doi: 10.1007/s00221-013-3748-1
    • Rosenstein, M. T., Collins, J. J., & De Luca, C. J. 1993. A practical method for calculating largest Lyapunov exponents from small data sets. Physica D: Nonlinear Phenomena, 65, 117-134. doi: doi:10.1016/0167-2789(93)90009-P
    • Sasaki, K., & Neptune, R. 2006. Muscle mechanical work and elastic energy utilization during walking and running near the preferred gait transition speed. Gait & Posture, 23, 383-390. doi: 10.1016/j.gaitpost.2005.05.002
    • Seipel, J. E. and Holmes, P. J. 2005. Three-dimensional running is unstable but easily stabilized. In: Armada, M. A. & González Santos, P. (Eds.), Climbing and Walking Robots. Springer, Berlin and Heidelberg, pp. 585-592
    • Takens, F. 1981. Detecting strange attractors in turbulence. In: Rand, D. & Young, L. S. (Eds.), Dynamical systems and turbulence, Warwick 1980. Springer, Berlin and Heidelberg, pp. 366-381.
    • Wurdeman, S. R., Huben, N. B., & Stergiou, N. 2012. Variability of gait is dependent on direction of progression: implications for active control. Journal of Biomechanics, 45(4), 653-659. doi: 10.1016/j.jbiomech.2011.12.014
    • Wurdeman, S. R., & Stergiou, N. 2013. Temporal structure of variability reveals similar control mechanisms during lateral stepping and forward walking. Gait & Posture, 38(1), 73-78. doi: 10.1016/j.gaitpost.2012.10.017
    • Yentes, J. M., Hunt, N., Schmid, K. K., Kaipust, J. P., McGrath, D., & Stergiou, N. 2013. The Appropriate Use of Approximate Entropy and Sample Entropy with Short Data Sets. Annals of Biomedical Engineering, 41(2), 349-365. doi: 10.1007/s10439-012-0668-3
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