Literature DB >> 33501275

A Novel User Control for Lower Extremity Rehabilitation Exoskeletons.

Kiran K Karunakaran1,2, Kevin Abbruzzese2,3, Ghaith Androwis1,2, Richard A Foulds2,4.   

Abstract

Lower extremity exoskeletons offer the potential to restore ambulation to individuals with paraplegia due to spinal cord injury. However, they often rely on preprogrammed gait, initiated by switches, sensors, and/or EEG triggers. Users can exercise only limited independent control over the trajectory of the feet, the speed of walking, and the placement of feet to avoid obstacles. In this paper, we introduce and evaluate a novel approach that naturally decodes a neuromuscular surrogate for a user's neutrally planned foot control, uses the exoskeleton's motors to move the user's legs in real-time, and provides sensory feedback to the user allowing real-time sensation and path correction resulting in gait similar to biological ambulation. Users express their desired gait by applying Cartesian forces via their hands to rigid trekking poles that are connected to the exoskeleton feet through multi-axis force sensors. Using admittance control, the forces applied by the hands are converted into desired foot positions, every 10 milliseconds (ms), to which the exoskeleton is moved by its motors. As the trekking poles reflect the resulting foot movement, users receive sensory feedback of foot kinematics and ground contact that allows on-the-fly force corrections to maintain the desired foot behavior. We present preliminary results showing that our novel control can allow users to produce biologically similar exoskeleton gait.
Copyright © 2020 Karunakaran, Abbruzzese, Androwis and Foulds.

Entities:  

Keywords:  gait; lower extremity exoskeletons; rehabilitation robotics; robot control systems; spinal cord injury

Year:  2020        PMID: 33501275      PMCID: PMC7805763          DOI: 10.3389/frobt.2020.00108

Source DB:  PubMed          Journal:  Front Robot AI        ISSN: 2296-9144


  28 in total

1.  A lower limb exoskeleton control system based on steady state visual evoked potentials.

Authors:  No-Sang Kwak; Klaus-Robert Müller; Seong-Whan Lee
Journal:  J Neural Eng       Date:  2015-08-17       Impact factor: 5.379

2.  The Importance of Haptics in Generating Exoskeleton Gait Trajectory Using Alternate Motor Inputs.

Authors:  Kiran K Karunakaran; Kevin M Abbruzzese; Hao Xu; Richard A Foulds
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2017-07-13       Impact factor: 3.802

3.  High accuracy decoding of user intentions using EEG to control a lower-body exoskeleton.

Authors:  Atilla Kilicarslan; Saurabh Prasad; Robert G Grossman; Jose L Contreras-Vidal
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2013

4.  WAKE-Up Exoskeleton to Assist Children With Cerebral Palsy: Design and Preliminary Evaluation in Level Walking.

Authors:  Fabrizio Patane; Stefano Rossi; Fausto Del Sette; Juri Taborri; Paolo Cappa
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2017-01-11       Impact factor: 3.802

5.  An assistive control approach for a lower-limb exoskeleton to facilitate recovery of walking following stroke.

Authors:  Spencer A Murray; Kevin H Ha; Clare Hartigan; Michael Goldfarb
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2014-08-12       Impact factor: 3.802

6.  Time and Effort Required by Persons with Spinal Cord Injury to Learn to Use a Powered Exoskeleton for Assisted Walking.

Authors:  Allan J Kozlowski; Thomas N Bryce; Marcel P Dijkers
Journal:  Top Spinal Cord Inj Rehabil       Date:  2015-04-12

7.  A Method for the Autonomous Control of Lower Limb Exo-skeletons for Persons with Paraplegia.

Authors:  Hugo A Quintero; Ryan J Farris; Michael Goldfarb
Journal:  J Med Device       Date:  2012-10-11       Impact factor: 0.582

8.  Gait asymmetry in community-ambulating stroke survivors.

Authors:  Kara K Patterson; Iwona Parafianowicz; Cynthia J Danells; Valerie Closson; Mary C Verrier; W Richard Staines; Sandra E Black; William E McIlroy
Journal:  Arch Phys Med Rehabil       Date:  2008-02       Impact factor: 3.966

9.  Effects of Robotic Exoskeleton Gait Training on an Adolescent with Brain Injury.

Authors:  Kiran K Karunakaran; Naphtaly Ehrenberg; JenFu Cheng; Karen J Nolan
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2019-07

10.  Control of an Ambulatory Exoskeleton with a Brain-Machine Interface for Spinal Cord Injury Gait Rehabilitation.

Authors:  Eduardo López-Larraz; Fernando Trincado-Alonso; Vijaykumar Rajasekaran; Soraya Pérez-Nombela; Antonio J Del-Ama; Joan Aranda; Javier Minguez; Angel Gil-Agudo; Luis Montesano
Journal:  Front Neurosci       Date:  2016-08-03       Impact factor: 4.677

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  2 in total

1.  Reinforcement Learning and Control of a Lower Extremity Exoskeleton for Squat Assistance.

Authors:  Shuzhen Luo; Ghaith Androwis; Sergei Adamovich; Hao Su; Erick Nunez; Xianlian Zhou
Journal:  Front Robot AI       Date:  2021-07-19

Review 2.  Review of control strategies for lower-limb exoskeletons to assist gait.

Authors:  Romain Baud; Ali Reza Manzoori; Auke Ijspeert; Mohamed Bouri
Journal:  J Neuroeng Rehabil       Date:  2021-07-27       Impact factor: 4.262

  2 in total

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