Journal
JOURNAL OF BIOMECHANICS
Volume 110, Issue -, Pages -Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.jbiomech.2020.109979
Keywords
Treadmill control algorithms; Spatiotemporal gait parameters; Self-paced treadmill; Poincare descriptors
Categories
Funding
- National Natural Science Foundation of China [51475261]
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This study investigates the effects of treadmill control algorithms on spatiotemporal variables when walking on a self-paced (SP) treadmill. Ten healthy subjects walked at their preferred walking speed for 15 min under three different treadmill control modes. Stride time, stride length, and stride speed were measured using an inertial measurement unit. The mean, coefficient of variance, Poincare descriptors, and gait dynamics were calculated for each parameter. The mean values of stride length and stride speed were significantly increased when the treadmill had a quick response speed to the user's walking behavior. The long-term variability of stride length and stride speed was significantly affected by the treadmill control algorithms. A reduced strength of long-range correlations of stride time and stride speed was found when walking on the SP treadmill with suppressed treadmill accelerations and small velocity variations. We suggest that the suppression of treadmill acceleration provides more adaptability and less constraint to the user during SP treadmill walking. Although further research is required, the present work provides a basis for interpreting the influence of treadmill control algorithms on human gait. (c) 2020 Elsevier Ltd. All rights reserved.
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