Literature DB >> 25730820

Improving Myoelectric Control for Amputees through Transcranial Direct Current Stimulation.

Lizhi Pan, Dingguo Zhang, Xinjun Sheng, Xiangyang Zhu.   

Abstract

Most prosthetic myoelectric control studies have shown good performance for unimpaired subjects. However, performance is generally unacceptable for amputees. The primary problem is the poor quality of electromyography (EMG) signals of amputees compared with healthy individuals. To improve clinical performance of myoelectric control, this study explored transcranial direct current stimulation (tDCS) to modulate brain activity and enhance EMG quality. We tested six unilateral transradial amputees by applying active and sham anodal tDCS separately on two different days. Surface EMG signals were acquired from the affected and intact sides for 11 hand and wrist motions in the pre-tDCS and post-tDCS sessions. Autoregression coefficients and linear discriminant analysis classifiers were used to process the EMG data for pattern recognition of the 11 motions. For the affected side, active anodal tDCS significantly reduced the average classification error rate (CER) by 10.1%, while sham tDCS had no such effect. For the intact side, the average CER did not change on the day of sham tDCS but increased on the day of active tDCS. These results demonstrated that tDCS could modulate brain function and improve EMG-based classification performance for amputees. It has great potential in dramatically reducing the length of learning process of amputees for effectively using myoelectrically controlled multifunctional prostheses.

Mesh:

Year:  2015        PMID: 25730820     DOI: 10.1109/TBME.2015.2407491

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  7 in total

1.  Analysis of Hand and Wrist Postural Synergies in Tolerance Grasping of Various Objects.

Authors:  Yuan Liu; Li Jiang; Dapeng Yang; Hong Liu
Journal:  PLoS One       Date:  2016-08-31       Impact factor: 3.240

2.  A motion-classification strategy based on sEMG-EEG signal combination for upper-limb amputees.

Authors:  Xiangxin Li; Oluwarotimi Williams Samuel; Xu Zhang; Hui Wang; Peng Fang; Guanglin Li
Journal:  J Neuroeng Rehabil       Date:  2017-01-07       Impact factor: 4.262

3.  Grip Force and 3D Push-Pull Force Estimation Based on sEMG and GRNN.

Authors:  Changcheng Wu; Hong Zeng; Aiguo Song; Baoguo Xu
Journal:  Front Neurosci       Date:  2017-06-30       Impact factor: 4.677

4.  The Stochastic Entanglement and Phantom Motor Execution Hypotheses: A Theoretical Framework for the Origin and Treatment of Phantom Limb Pain.

Authors:  Max Ortiz-Catalan
Journal:  Front Neurol       Date:  2018-09-06       Impact factor: 4.003

Review 5.  Rewiring the Lesioned Brain: Electrical Stimulation for Post-Stroke Motor Restoration.

Authors:  Shi-Chun Bao; Ahsan Khan; Rong Song; Raymond Kai-Yu Tong
Journal:  J Stroke       Date:  2020-01-31       Impact factor: 6.967

6.  Force-Invariant Improved Feature Extraction Method for Upper-Limb Prostheses of Transradial Amputees.

Authors:  Md Johirul Islam; Shamim Ahmad; Fahmida Haque; Mamun Bin Ibne Reaz; Mohammad Arif Sobhan Bhuiyan; Md Rezaul Islam
Journal:  Diagnostics (Basel)       Date:  2021-05-07

7.  Improving robustness against electrode shift of high density EMG for myoelectric control through common spatial patterns.

Authors:  Lizhi Pan; Dingguo Zhang; Ning Jiang; Xinjun Sheng; Xiangyang Zhu
Journal:  J Neuroeng Rehabil       Date:  2015-12-02       Impact factor: 4.262

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.