Dynamic stability of running: the effects of speed and leg amputations on the maximal Lyapunov exponent.

In this paper, we study dynamic stability during running, focusing on the effects of speed, and the use of a leg prosthesis. We compute and compare the maximal Lyapunov exponents of kinematic time-series data from subjects with and without unilateral transtibial amputations running at a wide range of speeds. We find that the dynamics of the affected leg with the running-specific prosthesis are less stable than the dynamics of the unaffected leg and also less stable than the biological legs of the non-amputee runners. Surprisingly, we find that the center-of-mass dynamics of runners with two intact biological legs are slightly less stable than those of runners with amputations. Our results suggest that while leg asymmetries may be associated with instability, runners may compensate for this effect by increased control of their center-of-mass dynamics.

[1]  J. Dingwell,et al.  Nonlinear time series analysis of normal and pathological human walking. , 2000, Chaos.

[2]  Scott A. England,et al.  The influence of gait speed on local dynamic stability of walking. , 2007, Gait & posture.

[3]  Peter J. Beek,et al.  Statistical precision and sensitivity of measures of dynamic gait stability , 2009, Journal of Neuroscience Methods.

[4]  Francisco J. Valero Cuevas,et al.  Estimating Effective Degrees of Freedom in Motor Systems , 2008, IEEE Transactions on Biomedical Engineering.

[5]  H. Kantz A robust method to estimate the maximal Lyapunov exponent of a time series , 1994 .

[6]  H. Abarbanel,et al.  Determining embedding dimension for phase-space reconstruction using a geometrical construction. , 1992, Physical review. A, Atomic, molecular, and optical physics.

[7]  Daniel Koditschek,et al.  Quantifying Dynamic Stability and Maneuverability in Legged Locomotion1 , 2002, Integrative and comparative biology.

[8]  Thurmon E Lockhart,et al.  Differentiating fall-prone and healthy adults using local dynamic stability , 2008, Ergonomics.

[9]  Hugh M Herr,et al.  Running-specific prostheses limit ground-force during sprinting , 2010, Biology Letters.

[10]  P. Beek,et al.  Is slow walking more stable? , 2009, Journal of biomechanics.

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

[12]  K. Newell,et al.  Stability and the time-dependent structure of gait variability in walking and running. , 2009, Human movement science.

[13]  E M Burgess,et al.  BELOW‐KNEE AMPUTEE RUNNING GAIT , 1982, American journal of physical medicine.

[14]  N. Cowan,et al.  Lateral stability of the spring-mass hopper suggests a two-step control strategy for running. , 2009, Chaos.

[15]  Erik M Bollt,et al.  Control entropy identifies differential changes in complexity of walking and running gait patterns with increasing speed in highly trained runners. , 2009, Chaos.

[16]  S J Stanhope,et al.  Bilateral analysis of the knee and ankle during gait: an examination of the relationship between lateral dominance and symmetry. , 1989, Physical therapy.

[17]  B. R. Umberger,et al.  A test of the functional asymmetry hypothesis in walking. , 2008, Gait & posture.

[18]  F. Takens Detecting strange attractors in turbulence , 1981 .

[19]  H. Skinner,et al.  Gait analysis in amputees. , 1985, American journal of physical medicine.

[20]  P. Beek,et al.  Assessing the stability of human locomotion: a review of current measures , 2013, Journal of The Royal Society Interface.

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

[22]  Fraser,et al.  Independent coordinates for strange attractors from mutual information. , 1986, Physical review. A, General physics.

[23]  Shie Mannor,et al.  Activity and Gait Recognition with Time-Delay Embeddings , 2010, AAAI.

[24]  P. Weyand,et al.  Faster top running speeds are achieved with greater ground forces not more rapid leg movements. , 2000, Journal of applied physiology.

[25]  John Guckenheimer,et al.  The Dynamics of Legged Locomotion: Models, Analyses, and Challenges , 2006, SIAM Rev..

[26]  Nicholas Stergiou,et al.  Transtibial Amputee Joint Motion has Increased Attractor Divergence During Walking Compared to Non-Amputee Gait , 2013, Annals of Biomedical Engineering.

[27]  Jeffrey M. Hausdorff Gait dynamics in Parkinson's disease: common and distinct behavior among stride length, gait variability, and fractal-like scaling. , 2009, Chaos.

[28]  Sara J Gilliland,et al.  Nonlinear time series analysis of knee and ankle kinematics during side by side treadmill walking. , 2009, Chaos.

[29]  Bruce J. West,et al.  Understanding the complexity of human gait dynamics. , 2009, Chaos.

[30]  Skinner Hb,et al.  Gait analysis in amputees. , 1985 .

[31]  J. Milton Introduction to focus issue: bipedal locomotion--from robots to humans. , 2009, Chaos.

[32]  N. Stergiou,et al.  Nonlinear dynamics indicates aging affects variability during gait. , 2003, Clinical biomechanics.

[33]  Henry D. I. Abarbanel,et al.  Variation of Lyapunov exponents on a strange attractor , 1991 .

[34]  J. A. Stewart,et al.  Nonlinear Time Series Analysis , 2015 .