Reducing the metabolic cost of walking with an ankle exoskeleton: interaction between actuation timing and power

BackgroundPowered ankle-foot exoskeletons can reduce the metabolic cost of human walking to below normal levels, but optimal assistance properties remain unclear. The purpose of this study was to test the effects of different assistance timing and power characteristics in an experiment with a tethered ankle-foot exoskeleton.MethodsTen healthy female subjects walked on a treadmill with bilateral ankle-foot exoskeletons in 10 different assistance conditions. Artificial pneumatic muscles assisted plantarflexion during ankle push-off using one of four actuation onset timings (36, 42, 48 and 54% of the stride) and three power levels (average positive exoskeleton power over a stride, summed for both legs, of 0.2, 0.4 and 0.5 W∙kg−1). We compared metabolic rate, kinematics and electromyography (EMG) between conditions.ResultsOptimal assistance was achieved with an onset of 42% stride and average power of 0.4 W∙kg−1, leading to 21% reduction in metabolic cost compared to walking with the exoskeleton deactivated and 12% reduction compared to normal walking without the exoskeleton. With suboptimal timing or power, the exoskeleton still reduced metabolic cost, but substantially less so. The relationship between timing, power and metabolic rate was well-characterized by a two-dimensional quadratic function. The assistive mechanisms leading to these improvements included reducing muscular activity in the ankle plantarflexors and assisting leg swing initiation.ConclusionsThese results emphasize the importance of optimizing exoskeleton actuation properties when assisting or augmenting human locomotion. Our optimal assistance onset timing and average power levels could be used for other exoskeletons to improve assistance and resulting benefits.

[1]  Dirk De Clercq,et al.  Enhancing performance during inclined loaded walking with a powered ankle–foot exoskeleton , 2014, European Journal of Applied Physiology.

[2]  Hugh M Herr,et al.  Autonomous exoskeleton reduces metabolic cost of human walking , 2014, Journal of NeuroEngineering and Rehabilitation.

[3]  Daniel P. Ferris,et al.  Influence of Power Delivery Timing on the Energetics and Biomechanics of Humans Wearing a Hip Exoskeleton , 2017, Front. Bioeng. Biotechnol..

[4]  S. Collins,et al.  Ankle fixation need not increase the energetic cost of human walking. , 2008, Gait & posture.

[5]  Benjamin D. Robertson,et al.  Elastic ankle exoskeletons reduce soleus muscle force but not work in human hopping. , 2013, Journal of applied physiology.

[6]  James A. Norris,et al.  POWERED ANKLE-FOOT ORTHOSES: EFFICIENCY AT THE EXPENSE OF DECREASED STABILITY? , 2007 .

[7]  S. Collins,et al.  The advantages of a rolling foot in human walking , 2006, Journal of Experimental Biology.

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

[9]  Arthur D Kuo,et al.  Energetics of actively powered locomotion using the simplest walking model. , 2002, Journal of biomechanical engineering.

[10]  C. D. De Luca,et al.  Surface myoelectric signal cross-talk among muscles of the leg. , 1988, Electroencephalography and clinical neurophysiology.

[11]  Juanjuan Zhang,et al.  Design of two lightweight, high-bandwidth torque-controlled ankle exoskeletons , 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).

[12]  D. De Clercq,et al.  Uphill walking with a simple exoskeleton: plantarflexion assistance leads to proximal adaptations. , 2015, Gait & posture.

[13]  E. Rocon,et al.  Locomotor training through a novel robotic platform for gait rehabilitation in pediatric population: short report , 2016, Journal of NeuroEngineering and Rehabilitation.

[14]  Steven H. Collins,et al.  Prosthetic ankle push-off work reduces metabolic rate but not collision work in non-amputee walking , 2014, Scientific Reports.

[15]  Daniel P. Ferris,et al.  'Body-in-the-Loop' Optimization of Assistive Robotic Devices: A Validation Study , 2016, Robotics: Science and Systems.

[16]  Herman van der Kooij,et al.  Evaluation of the Achilles Ankle Exoskeleton , 2017, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[17]  Leif Hasselquist,et al.  Effects of a lower-body exoskeleton device on metabolic cost and gait biomechanics during load carriage , 2010, Ergonomics.

[18]  J. Maxwell Donelan,et al.  "Body-In-The-Loop": Optimizing Device Parameters Using Measures of Instantaneous Energetic Cost , 2015, PloS one.

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

[20]  D. De Clercq,et al.  Adaptation to walking with an exoskeleton that assists ankle extension. , 2013, Gait & posture.

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

[22]  E. Kinney Primer of Biostatistics , 1987 .

[23]  Daniel P. Ferris,et al.  Learning to walk with an adaptive gain proportional myoelectric controller for a robotic ankle exoskeleton , 2015, Journal of NeuroEngineering and Rehabilitation.

[24]  Hugh M. Herr,et al.  Biomechanical walking mechanisms underlying the metabolic reduction caused by an autonomous exoskeleton , 2016, Journal of NeuroEngineering and Rehabilitation.

[25]  Sławomir Winiarski,et al.  Estimated ground reaction force in normal and pathological gait. , 2009, Acta of bioengineering and biomechanics.

[26]  S. Collins,et al.  Recycling Energy to Restore Impaired Ankle Function during Human Walking , 2010, PloS one.

[27]  Rachel W Jackson,et al.  An experimental comparison of the relative benefits of work and torque assistance in ankle exoskeletons. , 2015, Journal of applied physiology.

[28]  Daniel P. Ferris,et al.  Powered ankle exoskeletons reveal the metabolic cost of plantar flexor mechanical work during walking with longer steps at constant step frequency , 2009, Journal of Experimental Biology.

[29]  Joshua M. Caputo,et al.  The influence of push-off timing in a robotic ankle-foot prosthesis on the energetics and mechanics of walking , 2015, Journal of NeuroEngineering and Rehabilitation.

[30]  Susanne W. Lipfert,et al.  Impulsive ankle push-off powers leg swing in human walking , 2014, Journal of Experimental Biology.

[31]  Michael Christopher,et al.  Pedestrian Mobility and Safety: A Key to Independence for Older People , 2006 .

[32]  J Maxwell Donelan,et al.  Dynamic Principles of Gait and Their Clinical Implications , 2010, Physical Therapy.

[33]  K. Marycz,et al.  Effect of diet on mechanical properties of horse's hair. , 2009, Acta of bioengineering and biomechanics.

[34]  Conor J. Walsh,et al.  Assistance magnitude versus metabolic cost reductions for a tethered multiarticular soft exosuit , 2017, Science Robotics.

[35]  Gregory S. Sawicki,et al.  Reducing the energy cost of human walking using an unpowered exoskeleton , 2015, Nature.

[36]  Daniel P Ferris,et al.  Confidence in the curve: Establishing instantaneous cost mapping techniques using bilateral ankle exoskeletons. , 2017, Journal of applied physiology.

[37]  Karl E Zelik,et al.  The role of series ankle elasticity in bipedal walking. , 2014, Journal of theoretical biology.

[38]  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.

[39]  Dominic J Farris,et al.  More is not always better: modeling the effects of elastic exoskeleton compliance on underlying ankle muscle–tendon dynamics , 2014, Bioinspiration & biomimetics.

[40]  Jusuk Lee,et al.  Fully autonomous hip exoskeleton saves metabolic cost of walking , 2016, 2016 IEEE International Conference on Robotics and Automation (ICRA).

[41]  Manoj Srinivasan,et al.  Robotic lower limb prosthesis design through simultaneous computer optimizations of human and prosthesis costs , 2016, Scientific reports.

[42]  Herman van der Kooij,et al.  Optimization of human walking for exoskeletal support , 2013, 2013 IEEE 13th International Conference on Rehabilitation Robotics (ICORR).

[43]  D. De Clercq,et al.  Exoskeleton plantarflexion assistance for elderly. , 2017, Gait & posture.

[44]  R. Kram,et al.  Mechanical and metabolic determinants of the preferred step width in human walking , 2001, Proceedings of the Royal Society of London. Series B: Biological Sciences.

[45]  Ciara M O'Connor,et al.  Automatic detection of gait events using kinematic data. , 2007, Gait & posture.

[46]  B. Freriks,et al.  Development of recommendations for SEMG sensors and sensor placement procedures. , 2000, Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology.

[47]  Daniel P. Ferris,et al.  Mechanics and energetics of level walking with powered ankle exoskeletons , 2008, Journal of Experimental Biology.

[48]  D. De Clercq,et al.  A Simple Exoskeleton That Assists Plantarflexion Can Reduce the Metabolic Cost of Human Walking , 2013, PloS one.

[49]  G. Cavagna,et al.  Mechanical work in terrestrial locomotion: two basic mechanisms for minimizing energy expenditure. , 1977, The American journal of physiology.

[50]  B. R. Umberger,et al.  Stance and swing phase costs in human walking , 2010, Journal of The Royal Society Interface.

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

[52]  E. Růžička,et al.  Spatial and temporal characteristics of gait as outcome measures in multiple sclerosis (EDSS 0 to 6.5) , 2015, Journal of NeuroEngineering and Rehabilitation.

[53]  W. T. Dempster,et al.  SPACE REQUIREMENTS OF THE SEATED OPERATOR, GEOMETRICAL, KINEMATIC, AND MECHANICAL ASPECTS OF THE BODY WITH SPECIAL REFERENCE TO THE LIMBS , 1955 .