Kinetic analysis of supine stepping for early rehabilitation of walking

In order to promote gait restoration in patients who cannot maintain an upright position in the early post-injury phase, a Gait Orthosis for Early Rehabilitation was proposed for supine stepping. Although supine stepping can generate lower-limb joint trajectories which are close to normal gait, the inter-segmental dynamics of supine stepping are believed to be different from those of upright walking. Furthermore, training in a supine position requires a certain loading on the foot to mimic the ground reaction forces, where different loading amplitudes influence the joint dynamics. This work analysed the kinetics of supine stepping with variable loading and investigated structural modifications for the Gait Orthosis for Early Rehabilitation system to address this kinetic difference. Three able-bodied subjects walked overground while their walking performance was recorded. Based on the experimental data, a leg-linkage model was developed to simulate the dynamics of upright walking. This model was then rotated by 90° with different foot loadings to investigate the kinetics of supine stepping. Compared to upright walking, supine stepping had a large kinetic difference at the hip joint due to the supine leg position. The ankle joint during supine stepping was sensitive to the force amplitude simulated on the foot. Thus, the Gait Orthosis for Early Rehabilitation system requires a leg frame to compensate the position change and a shoe platform to activate the leg muscles, especially at the ankle joint. This study provided important structural information for the further development of the Gait Orthosis for Early Rehabilitation system.

[1]  Juan Fang,et al.  Computer modelling and experimental design of a gait orthosis for early rehabilitation of walking , 2013 .

[2]  D. Haines,et al.  A clinician's view of spinal cord injury. , 2003, Anatomical record. Part B, New anatomist.

[3]  J M Mansour,et al.  Linear approximations for swing leg motion during gait. , 1984, Journal of biomechanical engineering.

[4]  B. Conway,et al.  Proprioceptive input resets central locomotor rhythm in the spinal cat , 2004, Experimental Brain Research.

[5]  Daniel Vélez Día,et al.  Biomechanics and Motor Control of Human Movement , 2013 .

[6]  R. Rupp,et al.  Novel tilt table with integrated robotic stepping mechanism: design principles and clinical application , 2005, 9th International Conference on Rehabilitation Robotics, 2005. ICORR 2005..

[7]  Andreia S. P. Sousa,et al.  Biomechanical and neurophysiological mechanisms related to postural control and efficiency of movement: A review , 2012, Somatosensory & motor research.

[8]  V. Edgerton,et al.  Robotic training and spinal cord plasticity , 2009, Brain Research Bulletin.

[9]  L. Arendt-Nielsen,et al.  Expansion of nociceptive withdrawal reflex receptive fields in spinal cord injured humans , 2004, Clinical Neurophysiology.

[10]  D. Winter Kinematic and kinetic patterns in human gait: Variability and compensating effects , 1984 .

[11]  A Pedotti,et al.  A general computing method for the analysis of human locomotion. , 1975, Journal of biomechanics.

[12]  B A Conway,et al.  Kinematic modelling of a robotic gait device for early rehabilitation of walking , 2011, Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine.

[13]  S. Cuccurullo,et al.  Physical Medicine and Rehabilitation Board Review , 2004 .

[14]  S. Gard,et al.  The human ankle during walking: implications for design of biomimetic ankle prostheses. , 2004, Journal of biomechanics.

[15]  V. Dietz,et al.  Locomotor activity in spinal man: significance of afferent input from joint and load receptors. , 2002, Brain : a journal of neurology.

[16]  Andreia S. P. Sousa,et al.  Ankle dynamic in stroke patients: Agonist vs. antagonist muscle relations , 2012, Somatosensory & motor research.

[17]  Linda R. Petzold,et al.  Numerical solution of initial-value problems in differential-algebraic equations , 1996, Classics in applied mathematics.

[18]  M P Kadaba,et al.  Measurement of lower extremity kinematics during level walking , 1990, Journal of orthopaedic research : official publication of the Orthopaedic Research Society.

[19]  H Gollee,et al.  Control of paraplegic ankle joint stiffness using FES while standing. , 2001, Medical engineering & physics.

[20]  T. McMahon,et al.  Ballistic walking. , 1980, Journal of biomechanics.