Literature DB >> 29526856

A wearable resistive robot facilitates locomotor adaptations during gait.

Edward P Washabaugh1,2, Chandramouli Krishnan1,2.   

Abstract

BACKGROUND: Robotic-resisted treadmill walking is a form of task-specific training that has been used to improve gait function in individuals with neurological injury, such as stroke, spinal cord injury, or cerebral palsy. Traditionally, these devices use active elements (e.g., motors or actuators) to provide resistance during walking, making them bulky, expensive, and less suitable for overground or in-home rehabilitation. We recently developed a low-cost, wearable robotic brace that generates resistive torques across the knee joint using a simple magnetic brake. However, the possible effects of training with this device on gait function in a clinical population are currently unknown.
OBJECTIVE: The purpose of this study was to test the acute effects of resisted walking with this device on kinematics, muscle activation patterns, and gait velocity in chronic stroke survivors.
METHODS: Six stroke survivors wore the resistive brace and walked on a treadmill for 20 minutes (4×5 minutes) at their self-selected walking speed while simultaneously performing a foot trajectory-tracking task to minimize stiff-knee gait. Electromyography, sagittal plane gait kinematics, and overground gait velocity were collected to evaluate the acute effects of the device on gait function.
RESULTS: Robotic-resisted treadmill training resulted in a significant increase in quadriceps and hamstring EMG activity during walking. Significant aftereffects (i.e., improved joint excursions) were also observed on the hip and knee kinematics, which persisted for several steps after training. More importantly, training resulted in significant improvements in overground gait velocity. These results were consistent in all the subjects tested.
CONCLUSION: This study provides preliminary evidence indicating that robotic-resisted treadmill walking using our knee brace can result in meaningful biomechanical aftereffects that translate to overground walking.

Entities:  

Keywords:  EMG; Rehab robotics; active engagement; functional resistance training; rehabilitation; task-specific

Mesh:

Year:  2018        PMID: 29526856      PMCID: PMC5903686          DOI: 10.3233/RNN-170782

Source DB:  PubMed          Journal:  Restor Neurol Neurosci        ISSN: 0922-6028            Impact factor:   2.406


  52 in total

1.  Extracting synergies in gait: using EMG variability to evaluate control strategies.

Authors:  Rajiv Ranganathan; Chandramouli Krishnan
Journal:  J Neurophysiol       Date:  2012-06-20       Impact factor: 2.714

2.  Robot-based hand motor therapy after stroke.

Authors:  Craig D Takahashi; Lucy Der-Yeghiaian; Vu Le; Rehan R Motiwala; Steven C Cramer
Journal:  Brain       Date:  2007-12-20       Impact factor: 13.501

3.  Robotic-assisted gait training combined with transcranial direct current stimulation in chronic stroke patients: A pilot double-blind, randomized controlled trial.

Authors:  Han Gil Seo; Woo Hyung Lee; Seung Hak Lee; Youbin Yi; Kwang Dong Kim; Byung-Mo Oh
Journal:  Restor Neurol Neurosci       Date:  2017       Impact factor: 2.406

4.  A low cost real-time motion tracking approach using webcam technology.

Authors:  Chandramouli Krishnan; Edward P Washabaugh; Yogesh Seetharaman
Journal:  J Biomech       Date:  2014-12-10       Impact factor: 2.712

5.  A novel cable-driven robotic training improves locomotor function in individuals post-stroke.

Authors:  Ming Wu; Jill M Landry; Sheng-Che Yen; Brian D Schmit; T George Hornby; Miriam Rafferty
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2011

6.  Validity and repeatability of inertial measurement units for measuring gait parameters.

Authors:  Edward P Washabaugh; Tarun Kalyanaraman; Peter G Adamczyk; Edward S Claflin; Chandramouli Krishnan
Journal:  Gait Posture       Date:  2017-04-12       Impact factor: 2.840

7.  Effects of task-specific and impairment-based training compared with usual care on functional walking ability after inpatient stroke rehabilitation: LEAPS Trial.

Authors:  Stephen E Nadeau; Samuel S Wu; Bruce H Dobkin; Stanley P Azen; Dorian K Rose; Julie K Tilson; Steven Y Cen; Pamela W Duncan
Journal:  Neurorehabil Neural Repair       Date:  2013-03-15       Impact factor: 3.919

8.  Training with robot-applied resistance in people with motor-incomplete spinal cord injury: Pilot study.

Authors:  Tania Lam; Katherine Pauhl; Amanda Ferguson; Raza N Malik; Andrei Krassioukov; Janice J Eng
Journal:  J Rehabil Res Dev       Date:  2015

Review 9.  Strengthening to promote functional recovery poststroke: an evidence-based review.

Authors:  Sang Pak; Carolynn Patten
Journal:  Top Stroke Rehabil       Date:  2008 May-Jun       Impact factor: 2.119

10.  A pilot study on the feasibility of robot-aided leg motor training to facilitate active participation.

Authors:  Chandramouli Krishnan; Rajiv Ranganathan; Yasin Y Dhaher; William Z Rymer
Journal:  PLoS One       Date:  2013-10-11       Impact factor: 3.240

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  11 in total

1.  Self-powered robots to reduce motor slacking during upper-extremity rehabilitation: a proof of concept study.

Authors:  Edward P Washabaugh; Emma Treadway; R Brent Gillespie; C David Remy; Chandramouli Krishnan
Journal:  Restor Neurol Neurosci       Date:  2018       Impact factor: 2.406

2.  Effect of paired-pulse stimulus parameters on the two phases of short interval intracortical inhibition in the quadriceps muscle group.

Authors:  Chandramouli Krishnan
Journal:  Restor Neurol Neurosci       Date:  2019       Impact factor: 2.406

3.  Functional Resistance Training Improves Thigh Muscle Strength after ACL Reconstruction: A Randomized Clinical Trial.

Authors:  Riann M Palmieri-Smith; Scott R Brown; Edward M Wojtys; Chandramouli Krishnan
Journal:  Med Sci Sports Exerc       Date:  2022-05-12

4.  Functional resistance training during walking: Mode of application differentially affects gait biomechanics and muscle activation patterns.

Authors:  Edward P Washabaugh; Thomas E Augenstein; Chandramouli Krishnan
Journal:  Gait Posture       Date:  2019-10-21       Impact factor: 2.840

5.  A Portable Passive Rehabilitation Robot for Upper-Extremity Functional Resistance Training.

Authors:  Edward Washabaugh; Jane Guo; Chih-Kang Chang; David Remy; Chandramouli Krishnan
Journal:  IEEE Trans Biomed Eng       Date:  2018-06-21       Impact factor: 4.538

6.  Evaluation of motor cortical excitability using evoked torque responses: A new tool with high reliability.

Authors:  Aastha K Dharia; Adam Gardi; Amanda K Vogel; Aviroop Dutt-Mazumder; Chandramouli Krishnan
Journal:  J Neurosci Methods       Date:  2020-11-12       Impact factor: 2.390

7.  Functional Resistance Training to Improve Knee Strength and Function After Acute Anterior Cruciate Ligament Reconstruction: A Case Study.

Authors:  Scott R Brown; Edward P Washabaugh; Aviroop Dutt-Mazumder; Edward M Wojtys; Riann M Palmieri-Smith; Chandramouli Krishnan
Journal:  Sports Health       Date:  2020-12-18       Impact factor: 3.843

8.  Motor slacking during resisted treadmill walking: Can visual feedback of kinematics reduce this behavior?

Authors:  Edward P Washabaugh; Luis H Cubillos; Alexandra C Nelson; Belinda T Cargile; Edward S Claflin; Chandramouli Krishnan
Journal:  Gait Posture       Date:  2021-09-20       Impact factor: 2.746

9.  Design and Preliminary Assessment of a Passive Elastic Leg Exoskeleton for Resistive Gait Rehabilitation.

Authors:  Edward P Washabaugh; Thomas E Augenstein; Alissa M Ebenhoeh; Jiajie Qiu; Kaitlyn A Ford; Chandramouli Krishnan
Journal:  IEEE Trans Biomed Eng       Date:  2021-05-21       Impact factor: 4.756

10.  The "Journal of Functional Morphology and Kinesiology" Journal Club Series: Resistance Training.

Authors:  Antonio Paoli; Tatiana Moro; Silvio Lorenzetti; Jan Seiler; Fabian Lüthy; Micah Gross; Federico Roggio; Helmi Chaabene; Giuseppe Musumeci
Journal:  J Funct Morphol Kinesiol       Date:  2020-04-02
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