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Feasible Stability Region in the Frontal Plane During Human Gait

Annals of Biomedical Engineering volume 37, Article number: 2606 (2009) Cite this article

Abstract

The inability to adequately control the motion of the center of mass (COM) in the frontal plane may result in a loss of balance causing a sideways fall during human gait. The primary purposes of this study were (1) to derive the feasible stability region (FSR) in the mediolateral direction, and (2) to compare the FSR with the COM motion state taken from 193 trials among 39 young subjects at liftoff during walking at different speeds. The lower boundary of the FSR was derived, at a given initial COM location, as the minimum rightward COM velocity, at liftoff of the left foot, required to bring the COM into the base of support (BOS), i.e., the right (stance) foot, as the COM velocity diminishes. The upper boundary was derived as the maximum rightward COM velocity, beyond which the left foot must land to the right of the right foot (BOS) in order to prevent a fall. We established a 2-link human model and employed dynamic optimization to estimate these threshold values for velocity. For a range of initial COM positions, simulated annealing algorithm was used to search for the threshold velocity values. Our study quantified the extent to which mediolateral balance can still be maintained without resorting to a crossover step (the left foot lands to the right of the BOS) for balance recovery. The derived FSR is in good agreement with our gait experimental results.

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Acknowledgment

This work was funded by NIH 2R01-AG16727.

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  1. Department of Physical Therapy, University of Illinois at Chicago, 1919 West Taylor St., Rm 426 (M/C 898), Chicago, IL, 60612, USA

    Feng Yang, Debbie Espy & Yi-Chung Pai

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  1. Feng Yang
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Correspondence to Yi-Chung Pai.

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Yang, F., Espy, D. & Pai, YC. Feasible Stability Region in the Frontal Plane During Human Gait. Ann Biomed Eng 37, 2606 (2009). https://doi.org/10.1007/s10439-009-9798-7

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  • DOI: https://doi.org/10.1007/s10439-009-9798-7

Keywords

  • Simulation
  • Optimization
  • Stability limits
  • Lateral falls
  • Robotics
  • Falls prevention