Literature DB >> 24377757

Effects of electromyography-driven robot-aided hand training with neuromuscular electrical stimulation on hand control performance after chronic stroke.

Wei Rong1, Kai Yu Tong, Xiao Ling Hu, Sze Kit Ho.   

Abstract

PURPOSE: An electromyography-driven robot system integrated with neuromuscular electrical stimulation (NMES) was developed to investigate its effectiveness on post-stroke rehabilitation.
METHODS: The performance of this system in assisting finger flexion/extension with different assistance combinations was evaluated in five stroke subjects. Then, a pilot study with 20-sessions training was conducted to evaluate the training's effectiveness.
RESULTS: The results showed that combined assistance from the NMES-robot could improve finger movement accuracy, encourage muscle activation of the finger muscles and suppress excessive muscular activities in the elbow joint. When assistances from both NMES and the robot were 50% of their maximum assistances, finger-tracking performance had the best results, with the lowest root mean square error, greater range of motion, higher voluntary muscle activations of the finger joints and lower muscle co-contraction in the finger and elbow joints. Upper limb function improved after the 20-session training, indicated by the increased clinical scores of Fugl-Meyer Assessment, Action Research Arm Test and Wolf Motor Function Test. Muscle co-contraction was reduced in the finger and elbow joints reflected by the Modified Ashworth Scale.
CONCLUSIONS: The findings demonstrated that an electromyography-driven NMES-robot used for chronic stroke improved hand function and tracking performance. Further research is warranted to validate the method on a larger scale. Implications for Rehabilitation The hand robotics and neuromuscular electrical stimulation (NMES) techniques are still separate systems in current post-stroke hand rehabilitation. This is the first study to investigate the combined effects of the NMES and robot on hand rehabilitation. The finger tracking performance was improved with the combined assistance from the EMG-driven NMES-robot hand system. The assistance from the robot could improve the finger movement accuracy and the assistance from the NMES could reduce the muscle co-contraction on finger and elbow joints. The upper limb functions were improved on chronic stroke patients after the pilot study of 20-session hand training with the combined assistance from the EMG-driven NMES-robot. The muscle spasticity on finger and elbow joints was reduced after the training.

Entities:  

Keywords:  Biofeedback; neurorehabilitation; sensorimotor integration

Mesh:

Year:  2013        PMID: 24377757     DOI: 10.3109/17483107.2013.873491

Source DB:  PubMed          Journal:  Disabil Rehabil Assist Technol        ISSN: 1748-3107


  9 in total

1.  A portable assist-as-need upper-extremity hybrid exoskeleton for FES-induced muscle fatigue reduction in stroke rehabilitation.

Authors:  Ashley Stewart; Christopher Pretty; Xiaoqi Chen
Journal:  BMC Biomed Eng       Date:  2019-11-19

2.  Upper Limbs Muscle Co-contraction Changes Correlated With the Impairment of the Corticospinal Tract in Stroke Survivors: Preliminary Evidence From Electromyography and Motor-Evoked Potential.

Authors:  Wenfei Sheng; Shijue Li; Jiangli Zhao; Yujia Wang; Zichong Luo; Wai Leung Ambrose Lo; Minghui Ding; Chuhuai Wang; Le Li
Journal:  Front Neurosci       Date:  2022-06-01       Impact factor: 5.152

3.  The Effects of Upper-Limb Training Assisted with an Electromyography-Driven Neuromuscular Electrical Stimulation Robotic Hand on Chronic Stroke.

Authors:  Chingyi Nam; Wei Rong; Waiming Li; Yunong Xie; Xiaoling Hu; Yongping Zheng
Journal:  Front Neurol       Date:  2017-12-14       Impact factor: 4.003

4.  A Neuromuscular Electrical Stimulation (NMES) and robot hybrid system for multi-joint coordinated upper limb rehabilitation after stroke.

Authors:  Wei Rong; Waiming Li; Mankit Pang; Junyan Hu; Xijun Wei; Bibo Yang; Honwah Wai; Xiaoxiang Zheng; Xiaoling Hu
Journal:  J Neuroeng Rehabil       Date:  2017-04-26       Impact factor: 4.262

5.  Advanced Myoelectric Control for Robotic Hand-Assisted Training: Outcome from a Stroke Patient.

Authors:  Zhiyuan Lu; Kai-Yu Tong; Henry Shin; Sheng Li; Ping Zhou
Journal:  Front Neurol       Date:  2017-03-20       Impact factor: 4.003

6.  Does the Score on the MRC Strength Scale Reflect Instrumented Measures of Maximal Torque and Muscle Activity in Post-Stroke Survivors?

Authors:  Pawel Kiper; Daniele Rimini; Deborah Falla; Alfonc Baba; Sebastian Rutkowski; Lorenza Maistrello; Andrea Turolla
Journal:  Sensors (Basel)       Date:  2021-12-07       Impact factor: 3.576

7.  Low-cost stimulation resistant electromyography.

Authors:  Lachlan R McKenzie; Christopher G Pretty; Benjamin C Fortune; Logan T Chatfield
Journal:  HardwareX       Date:  2021-02-13

8.  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

9.  An Exoneuromusculoskeleton for Self-Help Upper Limb Rehabilitation After Stroke.

Authors:  Chingyi Nam; Wei Rong; Waiming Li; Chingyee Cheung; Wingkit Ngai; Tszching Cheung; Mankit Pang; Li Li; Junyan Hu; Honwah Wai; Xiaoling Hu
Journal:  Soft Robot       Date:  2020-12-03       Impact factor: 8.071

  9 in total

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