Literature DB >> 30888251

Myoelectric Computer Interface Training for Reducing Co-Activation and Enhancing Arm Movement in Chronic Stroke Survivors: A Randomized Trial.

Emily M Mugler1, Goran Tomic1, Aparna Singh1, Saad Hameed1, Eric W Lindberg1, Jon Gaide1, Murad Alqadi2, Elizabeth Robinson3, Katherine Dalzotto3, Camila Limoli4, Tyler Jacobson1, Jungwha Lee1, Marc W Slutzky1.   

Abstract

BACKGROUND: Abnormal muscle co-activation contributes to impairment after stroke. We developed a myoelectric computer interface (MyoCI) training paradigm to reduce abnormal co-activation. MyoCI provides intuitive feedback about muscle activation patterns, enabling decoupling of these muscles.
OBJECTIVE: To investigate tolerability and effects of MyoCI training of 3 muscle pairs on arm motor recovery after stroke, including effects of training dose and isometric versus movement-based training.
METHODS: We randomized chronic stroke survivors with moderate-to-severe arm impairment to 3 groups. Two groups tested different doses of isometric MyoCI (60 vs 90 minutes), and one group tested MyoCI without arm restraint (90 minutes), over 6 weeks. Primary outcome was arm impairment (Fugl-Meyer Assessment). Secondary outcomes included function, spasticity, and elbow range-of-motion at weeks 6 and 10.
RESULTS: Over all 32 subjects, MyoCI training of 3 muscle pairs significantly reduced impairment (Fugl-Meyer Assessment) by 3.3 ± 0.6 and 3.1 ± 0.7 ( P < 10-4) at weeks 6 and 10, respectively. Each group improved significantly from baseline; no significant differences were seen between groups. Participants' lab-based and home-based function also improved at weeks 6 and 10 ( P ≤ .01). Spasticity also decreased over all subjects, and elbow range-of-motion improved. Both moderately and severely impaired patients showed significant improvement. No participants had training-related adverse events. MyoCI reduced abnormal co-activation, which appeared to transfer to reaching in the movement group.
CONCLUSIONS: MyoCI is a well-tolerated, novel rehabilitation tool that enables stroke survivors to reduce abnormal co-activation. It may reduce impairment and spasticity and improve arm function, even in severely impaired patients.

Entities:  

Keywords:  EMG; co-activation; feedback; function; impairment; stroke rehabilitation; upper extremity

Mesh:

Year:  2019        PMID: 30888251      PMCID: PMC6611547          DOI: 10.1177/1545968319834903

Source DB:  PubMed          Journal:  Neurorehabil Neural Repair        ISSN: 1545-9683            Impact factor:   3.919


  38 in total

1.  Assessing Wolf motor function test as outcome measure for research in patients after stroke.

Authors:  S L Wolf; P A Catlin; M Ellis; A L Archer; B Morgan; A Piacentino
Journal:  Stroke       Date:  2001-07       Impact factor: 7.914

2.  How do strength, sensation, spasticity and joint individuation relate to the reaching deficits of people with chronic hemiparesis?

Authors:  K M Zackowski; A W Dromerick; S A Sahrmann; W T Thach; A J Bastian
Journal:  Brain       Date:  2004-02-19       Impact factor: 13.501

3.  Target-dependent differences between free and constrained arm movements in chronic hemiparesis.

Authors:  Randall F Beer; Julius P A Dewald; Michelle L Dawson; W Zev Rymer
Journal:  Exp Brain Res       Date:  2004-02-17       Impact factor: 1.972

Review 4.  Clinical practice. Rehabilitation after stroke.

Authors:  Bruce H Dobkin
Journal:  N Engl J Med       Date:  2005-04-21       Impact factor: 91.245

5.  Modifiability of abnormal isometric elbow and shoulder joint torque coupling after stroke.

Authors:  Michael D Ellis; Bradley G Holubar; Ana Maria Acosta; Randall F Beer; Julius P A Dewald
Journal:  Muscle Nerve       Date:  2005-08       Impact factor: 3.217

6.  The restoration of motor function following hemiplegia in man.

Authors:  T E TWITCHELL
Journal:  Brain       Date:  1951-12       Impact factor: 13.501

Review 7.  Motor learning: its relevance to stroke recovery and neurorehabilitation.

Authors:  John W Krakauer
Journal:  Curr Opin Neurol       Date:  2006-02       Impact factor: 5.710

8.  Deficits in the coordination of multijoint arm movements in patients with hemiparesis: evidence for disturbed control of limb dynamics.

Authors:  R F Beer; J P Dewald; W Z Rymer
Journal:  Exp Brain Res       Date:  2000-04       Impact factor: 1.972

9.  Muscle weakness and cocontraction in upper limb hemiparesis: relationship to motor impairment and physical disability.

Authors:  John Chae; Guang Yang; Byung Kyu Park; Ihab Labatia
Journal:  Neurorehabil Neural Repair       Date:  2002-09       Impact factor: 3.919

10.  Efficacy of modified constraint-induced movement therapy in chronic stroke: a single-blinded randomized controlled trial.

Authors:  Stephen J Page; SueAnn Sisto; Peter Levine; Robert E McGrath
Journal:  Arch Phys Med Rehabil       Date:  2004-01       Impact factor: 3.966

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1.  Memory Reactivation during Sleep Improves Execution of a Challenging Motor Skill.

Authors:  Larry Y Cheng; Tiffanie Che; Goran Tomic; Marc W Slutzky; Ken A Paller
Journal:  J Neurosci       Date:  2021-10-18       Impact factor: 6.167

2.  Wearable myoelectric interface enables high-dose, home-based training in severely impaired chronic stroke survivors.

Authors:  Na-Teng Hung; Vivek Paul; Prashanth Prakash; Torin Kovach; Gene Tacy; Goran Tomic; Sangsoo Park; Tyler Jacobson; Alix Jampol; Pooja Patel; Anya Chappel; Erin King; Marc W Slutzky
Journal:  Ann Clin Transl Neurol       Date:  2021-08-20       Impact factor: 4.511

3.  Myoelectric interface training enables targeted reduction in abnormal muscle co-activation.

Authors:  Marc W Slutzky; Jinsook Roh; Gang Seo; Ameen Kishta; Emily Mugler
Journal:  J Neuroeng Rehabil       Date:  2022-07-01       Impact factor: 5.208

4.  Upper Limb Stroke Rehabilitation Using Surface Electromyography: A Systematic Review and Meta-Analysis.

Authors:  Maria Munoz-Novoa; Morten B Kristoffersen; Katharina S Sunnerhagen; Autumn Naber; Margit Alt Murphy; Max Ortiz-Catalan
Journal:  Front Hum Neurosci       Date:  2022-05-20       Impact factor: 3.473

5.  Use of an EMG-Controlled Game as a Therapeutic Tool to Retrain Hand Muscle Activation Patterns Following Stroke: A Pilot Study.

Authors:  Na Jin Seo; Alex Barry; Mohammad Ghassemi; Kristen M Triandafilou; Mary Ellen Stoykov; Lynn Vidakovic; Elliot Roth; Derek G Kamper
Journal:  J Neurol Phys Ther       Date:  2022-03-22       Impact factor: 4.655

6.  A Virtual Reality Muscle-Computer Interface for Neurorehabilitation in Chronic Stroke: A Pilot Study.

Authors:  Octavio Marin-Pardo; Christopher M Laine; Miranda Rennie; Kaori L Ito; James Finley; Sook-Lei Liew
Journal:  Sensors (Basel)       Date:  2020-07-04       Impact factor: 3.576

7.  Decoding Attempted Hand Movements in Stroke Patients Using Surface Electromyography.

Authors:  Mads Jochumsen; Imran Khan Niazi; Muhammad Zia Ur Rehman; Imran Amjad; Muhammad Shafique; Syed Omer Gilani; Asim Waris
Journal:  Sensors (Basel)       Date:  2020-11-26       Impact factor: 3.576

8.  Portable, open-source solutions for estimating wrist position during reaching in people with stroke.

Authors:  Jeffrey Z Nie; James W Nie; Na-Teng Hung; R James Cotton; Marc W Slutzky
Journal:  Sci Rep       Date:  2021-11-18       Impact factor: 4.379

Review 9.  Serious games for upper limb rehabilitation after stroke: a meta-analysis.

Authors:  Ioannis Doumas; Gauthier Everard; Stéphanie Dehem; Thierry Lejeune
Journal:  J Neuroeng Rehabil       Date:  2021-06-15       Impact factor: 4.262

10.  Development of a Low-Cost, Modular Muscle-Computer Interface for At-Home Telerehabilitation for Chronic Stroke.

Authors:  Octavio Marin-Pardo; Coralie Phanord; Miranda Rennie Donnelly; Christopher M Laine; Sook-Lei Liew
Journal:  Sensors (Basel)       Date:  2021-03-05       Impact factor: 3.576

  10 in total

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