Verification of a Robotic Ankle Exoskeleton Control Scheme for Gait Assistance in Individuals with Cerebral Palsy

Gian Maria Gasparri, Michael Owen Bair, Robert Patrick Libby, Zachary Forest Lerner

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Scopus citations

Abstract

Walking ability is critically important for pediatric health, well-being, and independence. Children with cerebral palsy (CP), the most prevalent cause of pediatric physical disability, often present pathological gait patterns that negatively impact walking capacity. Reduced function of the muscles surrounding the ankle joint in those with CP also greatly increases the energy cost of transport leading to reduce mobility. Ankle-foot-orthoses show limited effectiveness for clinically relevant improvement in gait mechanics, while orthopedic surgery, muscle injections and physical therapy are unable to completely restore gait function. While wearable exoskeletons hold promise for gait rehabilitation, appropriately controlling the timing and magnitude of powered assistance across individuals and conditions remains a considerable challenge. This work seeks to address this challenge through the design and initial clinical verification of a simple ankle exoskeleton control scheme designed to reduce the metabolic cost of transport during walking in an individual with CP. Preliminary experimental results from instrumented gait analysis following 5 training visits demonstrated a 45% increase in positive ankle power and a 16% reduction in net metabolic rate during walking with the exoskeleton providing powered plantar-flexion assistance compared to walking without the exoskeleton. Future work will expand this investigation to a larger cohort of individuals with CP and across additional modes of locomotion.

Original languageEnglish (US)
Title of host publication2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages4673-4678
Number of pages6
ISBN (Electronic)9781538680940
DOIs
StatePublished - Dec 27 2018
Event2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2018 - Madrid, Spain
Duration: Oct 1 2018Oct 5 2018

Publication series

NameIEEE International Conference on Intelligent Robots and Systems
ISSN (Print)2153-0858
ISSN (Electronic)2153-0866

Conference

Conference2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2018
Country/TerritorySpain
CityMadrid
Period10/1/1810/5/18

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Software
  • Computer Vision and Pattern Recognition
  • Computer Science Applications

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