Dynamic margins of stability during human walking in destabilizing environments.

Understanding how humans maintain stability when walking, particularly when exposed to perturbations, is key to preventing falls. Here, we quantified how imposing continuous, pseudorandom anterior-posterior (AP) and mediolateral (ML) oscillations affected the control of dynamic walking stability. Twelve subjects completed five 3-minute walking trials in the Computer Assisted Rehabilitation ENvironment (CAREN) system under each of 5 conditions: no perturbation (NOP), AP platform (APP) or visual (APV) or ML platform (MLP) or visual (MLV) oscillations. We computed AP and ML margins of stability (MOS) for each trial. Mean MOS(ml) were consistently slightly larger during all perturbation conditions than during NOP (p≤0.038). Mean MOS(ap) for the APP, MLP and MLV oscillations were significantly smaller than during NOP (p<0.0005). Variability of both MOS(ap) and MOS(ml) was significantly greater during the MLP and MLV oscillations than during NOP (p<0.0005). We also directly quantified how the MOS on any given step affected the MOS on the following step using first-return plots. There were significant changes in step-to-step MOS(ml) dynamics between experimental conditions (p<0.0005). These changes suggested that subjects may have been trying to control foot placement, and consequently stability, during the perturbation conditions. Quantifying step-to-step changes in margins of dynamic stability may be more useful than mean MOS in assessing how individuals control walking stability.

[1]  Y. Pai,et al.  Center of mass velocity-position predictions for balance control. , 1997, Journal of biomechanics.

[2]  Aftab E. Patla,et al.  Adaptations of walking pattern on a compliant surface to regulate dynamic stability , 2006, Experimental Brain Research.

[3]  A. Hof,et al.  Control of lateral balance in walking. Experimental findings in normal subjects and above-knee amputees. , 2007, Gait & posture.

[4]  A L Hof,et al.  The condition for dynamic stability. , 2005, Journal of biomechanics.

[5]  S. Hirokawa,et al.  Normal gait characteristics under temporal and distance constraints. , 1989, Journal of biomedical engineering.

[6]  A. Kuo,et al.  Direction-dependent control of balance during walking and standing. , 2009, Journal of neurophysiology.

[7]  Jonathan B. Dingwell,et al.  Do Humans Optimally Exploit Redundancy to Control Step Variability in Walking? , 2010, PLoS Comput. Biol..

[8]  Jaap H. van Dieën,et al.  Identification of elderly fallers by muscle strength measures , 2007, European Journal of Applied Physiology.

[9]  Jacob J Bloomberg,et al.  Strategies of healthy adults walking on a laterally oscillating treadmill. , 2013, Gait & posture.

[10]  B A Kay,et al.  Visual control of posture during walking: functional specificity. , 1996, Journal of experimental psychology. Human perception and performance.

[11]  T. M. Owings,et al.  Influence of Lower Extremity Strength of Healthy Older Adults on the Outcome of an Induced Trip , 2002, Journal of the American Geriatrics Society.

[12]  M. Whittle Three-dimensional motion of the center of gravity of the body during walking , 1997 .

[13]  A. Hof The 'extrapolated center of mass' concept suggests a simple control of balance in walking. , 2008, Human movement science.

[14]  Jeffrey M. Hausdorff,et al.  Is walking a random walk? Evidence for long-range correlations in stride interval of human gait. , 1995, Journal of applied physiology.

[15]  J. Dingwell,et al.  Dynamic stability of human walking in visually and mechanically destabilizing environments. , 2011, Journal of biomechanics.

[16]  Benoît G. Bardy,et al.  Motion parallax is used to control postural sway during walking , 1996, Experimental Brain Research.

[17]  Reinhard Blickhan,et al.  A movement criterion for running. , 2002, Journal of biomechanics.

[18]  B. E. Maki,et al.  Gait Changes in Older Adults: Predictors of Falls or Indicators of Fear? , 1997, Journal of the American Geriatrics Society.

[19]  A. Hof,et al.  Balance recovery after an evoked forward fall in unilateral transtibial amputees. , 2010, Gait & posture.

[20]  J. Dingwell,et al.  Kinematic variability and local dynamic stability of upper body motions when walking at different speeds. , 2006, Journal of biomechanics.

[21]  Noah J Rosenblatt,et al.  Measures of frontal plane stability during treadmill and overground walking. , 2010, Gait & posture.

[22]  J. Dingwell,et al.  Re-interpreting detrended fluctuation analyses of stride-to-stride variability in human walking. , 2010, Gait & posture.

[23]  F. Prince,et al.  Symmetry and limb dominance in able-bodied gait: a review. , 2000, Gait & posture.

[24]  R. Blickhan,et al.  Spring-mass running: simple approximate solution and application to gait stability. , 2005, Journal of theoretical biology.

[25]  Patricia M McAndrew,et al.  Walking Variability during Continuous Pseudo-random Oscillations of the Support Surface and Visual Field , 2022 .

[26]  J. Dingwell,et al.  ApJ, in press , 1999 .

[27]  Constantinos N Maganaris,et al.  Tripping without falling; lower limb strength, a limitation for balance recovery and a target for training in the elderly. , 2008, Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology.

[28]  Steven H. Strogatz,et al.  Nonlinear Dynamics and Chaos: With Applications to Physics, Biology, Chemistry, and Engineering , 1994 .

[29]  A. Kuo,et al.  Comparison of kinematic and kinetic methods for computing the vertical motion of the body center of mass during walking. , 2004, Human movement science.

[30]  Heydar Sadeghi,et al.  Functional gait asymmetry in , 1997 .

[31]  Jonathan B Dingwell,et al.  The effects of sensory loss and walking speed on the orbital dynamic stability of human walking. , 2007, Journal of biomechanics.

[32]  Aftab E Patla,et al.  Validating determinants for an alternate foot placement selection algorithm during human locomotion in cluttered terrain. , 2007, Journal of neurophysiology.