Literature DB >> 19878952

Invariant ankle moment patterns when walking with and without a robotic ankle exoskeleton.

Pei-Chun Kao1, Cara L Lewis, Daniel P Ferris.   

Abstract

To guide development of robotic lower limb exoskeletons, it is necessary to understand how humans adapt to powered assistance. The purposes of this study were to quantify joint moments while healthy subjects adapted to a robotic ankle exoskeleton and to determine if the period of motor adaptation is dependent on the magnitude of robotic assistance. The pneumatically powered ankle exoskeleton provided plantar flexor torque controlled by the wearer's soleus electromyography (EMG). Eleven naïve individuals completed two 30-min sessions walking on a split-belt instrumented treadmill at 1.25m/s while wearing the ankle exoskeleton. After two sessions of practice, subjects reduced their soleus EMG activation by approximately 36% and walked with total ankle moment patterns similar to their unassisted gait (r(2)=0.98+/-0.02, THSD, p>0.05). They had substantially different ankle kinematic patterns compared to their unassisted gait (r(2)=0.79+/-0.12, THSD, p<0.05). Not all of the subjects reached a steady-state gait pattern within the two sessions, in contrast to a previous study using a weaker robotic ankle exoskeleton (Gordon and Ferris, 2007). Our results strongly suggest that humans aim for similar joint moment patterns when walking with robotic assistance rather than similar kinematic patterns. In addition, greater robotic assistance provided during initial use results in a longer adaptation process than lesser robotic assistance. Copyright 2009 Elsevier Ltd. All rights reserved.

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Year:  2009        PMID: 19878952      PMCID: PMC2813403          DOI: 10.1016/j.jbiomech.2009.09.030

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  20 in total

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Authors:  Daniel P Ferris; Gregory S Sawicki; Antoinette Domingo
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Journal:  Behav Brain Res       Date:  1995-03       Impact factor: 3.332

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9.  A simple method for calibrating force plates and force treadmills using an instrumented pole.

Authors:  Steven H Collins; Peter G Adamczyk; Daniel P Ferris; Arthur D Kuo
Journal:  Gait Posture       Date:  2008-08-27       Impact factor: 2.840

10.  A PHYSIOLOGIST'S PERSPECTIVE ON ROBOTIC EXOSKELETONS FOR HUMAN LOCOMOTION.

Authors:  Daniel P Ferris; Gregory S Sawicki; Monica A Daley
Journal:  Int J HR       Date:  2007-09       Impact factor: 1.616

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  31 in total

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Authors:  Cara L Lewis; Daniel P Ferris
Journal:  J Biomech       Date:  2011-02-18       Impact factor: 2.712

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5.  Design and Experimental Research of 3-RRS Parallel Ankle Rehabilitation Robot.

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6.  General variability leads to specific adaptation toward optimal movement policies.

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7.  Short-term locomotor adaptation to a robotic ankle exoskeleton does not alter soleus Hoffmann reflex amplitude.

Authors:  Pei-Chun Kao; Cara L Lewis; Daniel P Ferris
Journal:  J Neuroeng Rehabil       Date:  2010-07-26       Impact factor: 4.262

8.  Effect of robotic performance-based error-augmentation versus error-reduction training on the gait of healthy individuals.

Authors:  Pei-Chun Kao; Shraddha Srivastava; Sunil K Agrawal; John P Scholz
Journal:  Gait Posture       Date:  2012-07-24       Impact factor: 2.840

9.  Locomotor adaptation to a soleus EMG-controlled antagonistic exoskeleton.

Authors:  Keith E Gordon; Catherine R Kinnaird; Daniel P Ferris
Journal:  J Neurophysiol       Date:  2013-01-09       Impact factor: 2.714

10.  Visual evoked responses during standing and walking.

Authors:  Klaus Gramann; Joseph T Gwin; Nima Bigdely-Shamlo; Daniel P Ferris; Scott Makeig
Journal:  Front Hum Neurosci       Date:  2010-10-29       Impact factor: 3.169

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