Literature DB >> 23932795

The effects of post-stroke upper-limb training with an electromyography (EMG)-driven hand robot.

X L Hu1, K Y Tong, X J Wei, W Rong, E A Susanto, S K Ho.   

Abstract

Loss of hand function and finger dexterity are main disabilities in the upper limb after stroke. An electromyography (EMG)-driven hand robot had been developed for post-stroke rehabilitation training. The effectiveness of the hand robot assisted whole upper limb training was investigated on persons with chronic stroke (n=10) in this work. All subjects attended a 20-session training (3-5times/week) by using the hand robot to practice object grasp/release and arm transportation tasks. Significant motor improvements were observed in the Fugl-Meyer hand/wrist and shoulder/elbow scores (p<0.05), and also in the Action Research Arm Test and Wolf Motor Function Test (p<0.05). Significant reduction in spasticity of the fingers as was measured by the Modified Ashworth Score (p<0.05). The training improved the muscle co-ordination between the antagonist muscle pair (flexor digitorum (FD) and extensor digitorum (ED)), associated with a significant reduction in the ED EMG level (p<0.05) and a significant decrease of ED and FD co-contraction during the training (p<0.05); the excessive muscle activities in the biceps brachii were also reduced significantly after the training (p<0.05).
Copyright © 2013 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Hand; Rehabilitation robot; Stroke

Mesh:

Year:  2013        PMID: 23932795     DOI: 10.1016/j.jelekin.2013.07.007

Source DB:  PubMed          Journal:  J Electromyogr Kinesiol        ISSN: 1050-6411            Impact factor:   2.368


  32 in total

1.  Current Trends in Robot-Assisted Upper-Limb Stroke Rehabilitation: Promoting Patient Engagement in Therapy.

Authors:  Amy A Blank; James A French; Ali Utku Pehlivan; Marcia K O'Malley
Journal:  Curr Phys Med Rehabil Rep       Date:  2014-09

Review 2.  Robotic Rehabilitation and Spinal Cord Injury: a Narrative Review.

Authors:  Marwa Mekki; Andrew D Delgado; Adam Fry; David Putrino; Vincent Huang
Journal:  Neurotherapeutics       Date:  2018-07       Impact factor: 7.620

3.  Evidence of neuroplasticity with robotic hand exoskeleton for post-stroke rehabilitation: a randomized controlled trial.

Authors:  Neha Singh; Megha Saini; Nand Kumar; M V Padma Srivastava; Amit Mehndiratta
Journal:  J Neuroeng Rehabil       Date:  2021-05-06       Impact factor: 4.262

4.  Toward Hand Pattern Recognition in Assistive and Rehabilitation Robotics Using EMG and Kinematics.

Authors:  Hui Zhou; Qianqian Zhang; Mengjun Zhang; Sameer Shahnewaz; Shaocong Wei; Jingzhi Ruan; Xinyan Zhang; Lingling Zhang
Journal:  Front Neurorobot       Date:  2021-05-13       Impact factor: 2.650

5.  Efficacy of robot-assisted fingers training in chronic stroke survivors: a pilot randomized-controlled trial.

Authors:  Evan A Susanto; Raymond Ky Tong; Corinna Ockenfeld; Newmen Sk Ho
Journal:  J Neuroeng Rehabil       Date:  2015-04-25       Impact factor: 4.262

Review 6.  Neural coding for effective rehabilitation.

Authors:  Xiaoling Hu; Yiwen Wang; Ting Zhao; Aysegul Gunduz
Journal:  Biomed Res Int       Date:  2014-09-02       Impact factor: 3.411

7.  Effects of combining robot-assisted therapy with neuromuscular electrical stimulation on motor impairment, motor and daily function, and quality of life in patients with chronic stroke: a double-blinded randomized controlled trial.

Authors:  Ya-yun Lee; Keh-chung Lin; Hsiao-ju Cheng; Ching-yi Wu; Yu-wei Hsieh; Chih-kuang Chen
Journal:  J Neuroeng Rehabil       Date:  2015-10-31       Impact factor: 4.262

Review 8.  Training modalities in robot-mediated upper limb rehabilitation in stroke: a framework for classification based on a systematic review.

Authors:  Angelo Basteris; Sharon M Nijenhuis; Arno H A Stienen; Jaap H Buurke; Gerdienke B Prange; Farshid Amirabdollahian
Journal:  J Neuroeng Rehabil       Date:  2014-07-10       Impact factor: 4.262

9.  Changes in skeletal muscle perfusion and spasticity in patients with poststroke hemiparesis treated by robotic assistance (Gloreha) of the hand.

Authors:  Luciano Bissolotti; Jorge Hugo Villafañe; Paolo Gaffurini; Claudio Orizio; Kristin Valdes; Stefano Negrini
Journal:  J Phys Ther Sci       Date:  2016-03-31

10.  Design and Optimization of an EEG-Based Brain Machine Interface (BMI) to an Upper-Limb Exoskeleton for Stroke Survivors.

Authors:  Nikunj A Bhagat; Anusha Venkatakrishnan; Berdakh Abibullaev; Edward J Artz; Nuray Yozbatiran; Amy A Blank; James French; Christof Karmonik; Robert G Grossman; Marcia K O'Malley; Gerard E Francisco; Jose L Contreras-Vidal
Journal:  Front Neurosci       Date:  2016-03-31       Impact factor: 4.677

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