Relationship Between Ankle Assistive Torque and Biomechanical Gait Metrics in Individuals After Stroke

Jesus De Miguel-Fernandez, Camille Pescatore, Alba Mesa-Garrido, Cindy Rikhof, Erik Prinsen, Josep M. Font-Llagunes, Joan Lobo-Prat

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

The effectiveness of robotic exoskeletons for post-stroke gait rehabilitation might be limited as the control parameters of these devices do not adapt to key biomechanical descriptors. The main contribution of this study is to examine post-stroke gait with the aim of finding relationships between exoskeleton control parameters and a comprehensive set of biomechanical metrics. Five stroke survivors walked with the assistance of a wearable ankle exoskeleton (ABLE-S) using different levels of plantarflexion (PF) and dorsiflexion (DF) peak torque, as well as different timings of PF peak torque. We found that DF peak magnitude had significant negative relations with the temporal symmetry index (p=0.033) and the paretic foot absolute angle at heel strike (p=0.019). Changes in the applied PF assistance parameters were significantly correlated with a high variety of temporal and spatial parameters, e.g., walking speed (p=0.009), stride length (p=0.011), non-paretic step length (p=0.024), foot clearance (p=0.003) and hip hiking (p=0.038), and the muscle activation for the non-paretic side, e.g., Tibialis Anterior (p=0.049) and Gastrocnemius Medialis (p=0.049). Based on our results, we propose a set of control laws for adapting the assistance of ankle exoskeletons that will be evaluated in future work.

Original languageEnglish
Title of host publication2023 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2023
PublisherIEEE
Pages6054-6061
Number of pages8
ISBN (Electronic)9781665491907
DOIs
Publication statusPublished - 2023
EventIEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2023 - Huntington Place, Detroit, United States
Duration: 1 Oct 20235 Oct 2023
https://ieee-iros.org/

Publication series

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

Conference

ConferenceIEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2023
Abbreviated titleIROS 2023
Country/TerritoryUnited States
CityDetroit
Period1/10/235/10/23
Internet address

Keywords

  • n/a OA procedure

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