A Forward Dynamic Modelling Investigation of Cause-and-Effect Relationships in Single Support Phase of Human Walking

Mathematical gait models often fall into one of two categories: simple and complex. There is a large leap in complexity between model types, meaning the effects of individual gait mechanisms get overlooked. This study investigated the cause-and-effect relationships between gait mechanisms and resulting kinematics and kinetics, using a sequence of mathematical models of increasing complexity. The focus was on sagittal plane and single support only. Starting with an inverted pendulum (IP), extended to include a HAT (head-arms-trunk) segment and an actuated hip moment, further complexities were added one-by-one. These were a knee joint, an ankle joint with a static foot, heel rise, and finally a swing leg. The presence of a knee joint and an ankle moment (during foot flat) were shown to largely influence the initial peak in the vertical GRF curve. The second peak in this curve was achieved through a combination of heel rise and the presence of a swing leg. Heel rise was also shown to reduce errors in the horizontal GRF prediction in the second half of single support. The swing leg is important for centre-of-mass (CM) deceleration in late single support. These findings provide evidence for the specific effects of each gait mechanism.

[1]  S. Gard,et al.  The influence of stance-phase knee flexion on the vertical displacement of the trunk during normal walking. , 1999, Archives of physical medicine and rehabilitation.

[2]  George Chen,et al.  Induced acceleration contributions to locomotion dynamics are not physically well defined. , 2006, Gait & posture.

[3]  M. Pandy,et al.  Dynamic optimization of human walking. , 2001, Journal of biomechanical engineering.

[4]  C. R. Deboor,et al.  A practical guide to splines , 1978 .

[5]  Jessy W. Grizzle,et al.  The Spring Loaded Inverted Pendulum as the Hybrid Zero Dynamics of an Asymmetric Hopper , 2009, IEEE Transactions on Automatic Control.

[6]  Richard A. Brand,et al.  The biomechanics and motor control of human gait: Normal, elderly, and pathological , 1992 .

[7]  Rodger Kram,et al.  Simultaneous positive and negative external mechanical work in human walking. , 2002, Journal of biomechanics.

[8]  F. Zajac,et al.  Contributions of the individual ankle plantar flexors to support, forward progression and swing initiation during walking. , 2001, Journal of biomechanics.

[9]  M. Pandy,et al.  Muscular contributions to hip and knee extension during the single limb stance phase of normal gait: a framework for investigating the causes of crouch gait. , 2005, Journal of biomechanics.

[10]  Ilse Jonkers,et al.  The study of muscle action during single support and swing phase of gait: clinical relevance of forward simulation techniques. , 2003, Gait & posture.

[11]  May Q. Liu,et al.  Muscle contributions to support and progression over a range of walking speeds. , 2008, Journal of biomechanics.

[12]  May Q. Liu,et al.  Muscles that support the body also modulate forward progression during walking. , 2006, Journal of biomechanics.

[13]  R. Brand,et al.  The biomechanics and motor control of human gait: Normal, elderly, and pathological , 1992 .

[14]  G. Cavagna,et al.  The sources of external work in level walking and running. , 1976, The Journal of physiology.

[15]  D. Kerrigan,et al.  A refined view of the determinants of gait: significance of heel rise. , 2000, Archives of physical medicine and rehabilitation.

[16]  M. Pandy,et al.  Individual muscle contributions to support in normal walking. , 2003, Gait & posture.

[17]  C. T. Farley,et al.  Minimizing center of mass vertical movement increases metabolic cost in walking. , 2005, Journal of applied physiology.

[18]  Michael J Rainbow,et al.  Performance of an inverted pendulum model directly applied to normal human gait. , 2006, Clinical biomechanics.

[19]  Fred W. Glover,et al.  Scatter Search and Local Nlp Solvers: A Multistart Framework for Global Optimization , 2006, INFORMS J. Comput..

[20]  R R Neptune,et al.  Muscle mechanical work requirements during normal walking: the energetic cost of raising the body's center-of-mass is significant. , 2004, Journal of biomechanics.

[21]  J. Saunders,et al.  The major determinants in normal and pathological gait. , 1953, The Journal of bone and joint surgery. American volume.

[22]  W. A. Hodge,et al.  Trunk kinematics during locomotor activities. , 1992, Physical therapy.

[23]  D. Kerrigan,et al.  A refined view of the determinants of gait. , 2001, Gait & posture.

[24]  Anne E. Martin,et al.  Predicting human walking gaits with a simple planar model. , 2014, Journal of biomechanics.

[25]  J. Donelan,et al.  Mechanical work for step-to-step transitions is a major determinant of the metabolic cost of human walking. , 2002, The Journal of experimental biology.

[26]  Christopher Kirtley,et al.  Clinical Gait Analysis: Theory and Practice , 2006 .

[27]  D K Smith,et al.  Numerical Optimization , 2001, J. Oper. Res. Soc..

[28]  Sukyung Park,et al.  Spring-like gait mechanics observed during walking in both young and older adults. , 2013, Journal of biomechanics.

[29]  Servet Soyguder,et al.  Computer simulation and dynamic modeling of a quadrupedal pronking gait robot with SLIP model , 2012, Comput. Electr. Eng..

[30]  D. Kerrigan,et al.  Quantification of pelvic rotation as a determinant of gait. , 2001, Archives of physical medicine and rehabilitation.

[31]  John McPhee,et al.  Forward dynamic human gait simulation using a SLIP target model , 2011 .

[32]  Arthur D Kuo,et al.  The six determinants of gait and the inverted pendulum analogy: A dynamic walking perspective. , 2007, Human movement science.

[33]  K. A. Opila-Correia Kinematics of high-heeled gait. , 1990, Archives of physical medicine and rehabilitation.

[34]  A. Thorstensson,et al.  Lumbar back muscle activity in relation to trunk movements during locomotion in man. , 1982, Acta physiologica Scandinavica.

[35]  Andy Ruina,et al.  Energetic Consequences of Walking Like an Inverted Pendulum: Step-to-Step Transitions , 2005, Exercise and sport sciences reviews.

[36]  D. Winter,et al.  Biomechanical walking pattern changes in the fit and healthy elderly. , 1990, Physical therapy.

[37]  Opila-Correia Ka Kinematics of high-heeled gait. , 1990 .

[38]  J B King,et al.  Gait Analysis. An Introduction , 1992 .

[39]  Ioannis Poulakakis,et al.  Spring Loaded Inverted Pendulum embedding: Extensions toward the control of compliant running robots , 2010, 2010 IEEE International Conference on Robotics and Automation.

[40]  Sharon R Bullimore,et al.  Ability of the planar spring-mass model to predict mechanical parameters in running humans. , 2007, Journal of theoretical biology.

[41]  David Howard,et al.  The strengths and weaknesses of inverted pendulum models of human walking. , 2015, Gait & posture.

[42]  Christine Azevedo,et al.  Comparison of Trunk Activity during Gait Initiation and Walking in Humans , 2009, PloS one.

[43]  C B Meadows,et al.  Classification of the reduced vertical component of the ground reaction force in late stance in cerebral palsy gait. , 2011, Gait & posture.

[44]  S. Gard,et al.  The effect of pelvic list on the vertical displacement of the trunk during normal walking , 1997 .