Literature DB >> 22736632

Alterations in the peak amplitude distribution of the surface electromyogram poststroke.

Xiaoyan Li1, Aneesha Suresh, Ping Zhou, William Zev Rymer.   

Abstract

We introduce a new method to examine the spinal motoneuron involvement after stroke using a surface electromyography (EMG) recording system. Fourteen chronic stroke survivors with mild to severe muscle weakness participated in the study. Surface EMG signals were collected from the first dorsal interosseous muscle while subjects performed isometric index finger abduction with paretic or contralateral hand at different matched force levels. Compared with the contralateral muscles, different patterns of peak amplitude distribution were observed at the paretic muscles, which could be induced by motor unit pathological alterations following a stroke. Compared with the conventional electrophysiological methods, the peak amplitude distribution analysis proposed in this study provides a convenient approach to help identify specific mechanisms of muscle weakness and other symptoms after stroke.

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Year:  2012        PMID: 22736632     DOI: 10.1109/TBME.2012.2205249

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


  16 in total

1.  Examination of Poststroke Alteration in Motor Unit Firing Behavior Using High-Density Surface EMG Decomposition.

Authors:  Xiaoyan Li; Ales Holobar; Marco Gazzoni; Roberto Merletti; William Zev Rymer; Ping Zhou
Journal:  IEEE Trans Biomed Eng       Date:  2014-11-07       Impact factor: 4.538

2.  Application of the F-Response for Estimating Motor Unit Number and Amplitude Distribution in Hand Muscles of Stroke Survivors.

Authors:  Xiaoyan Li; Morris Fisher; William Zev Rymer; Ping Zhou
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2015-07-08       Impact factor: 3.802

3.  A Novel Framework Based on FastICA for High Density Surface EMG Decomposition.

Authors:  Maoqi Chen; Ping Zhou
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2015-03-11       Impact factor: 3.802

4.  Surface EMG decomposition based on K-means clustering and convolution kernel compensation.

Authors:  Yong Ning; Xiangjun Zhu; Shanan Zhu; Yingchun Zhang
Journal:  IEEE J Biomed Health Inform       Date:  2014-06-02       Impact factor: 5.772

5.  Examination of hand muscle activation and motor unit indices derived from surface EMG in chronic stroke.

Authors:  Xiaoyan Li; Jie Liu; Sheng Li; Ying-Chih Wang; Ping Zhou
Journal:  IEEE Trans Biomed Eng       Date:  2014-06-25       Impact factor: 4.538

6.  Progressive FastICA Peel-Off and Convolution Kernel Compensation Demonstrate High Agreement for High Density Surface EMG Decomposition.

Authors:  Maoqi Chen; Ales Holobar; Xu Zhang; Ping Zhou
Journal:  Neural Plast       Date:  2016-08-25       Impact factor: 3.599

7.  Stroke-Related Changes in the Complexity of Muscle Activation during Obstacle Crossing Using Fuzzy Approximate Entropy Analysis.

Authors:  Ying Chen; Huijing Hu; Chenming Ma; Yinwei Zhan; Na Chen; Le Li; Rong Song
Journal:  Front Neurol       Date:  2018-03-12       Impact factor: 4.003

8.  Performance Evaluation of a Wearable Tattoo Electrode Suitable for High-Resolution Surface Electromyogram Recording.

Authors:  Sourav Chandra; Jinghua Li; Babak Afsharipour; Andres F Cardona; Nina L Suresh; Limei Tian; Yujun Deng; Yishan Zhong; Zhaoqian Xie; Haixu Shen; Yonggang Huang; John A Rogers; William Z Rymer
Journal:  IEEE Trans Biomed Eng       Date:  2021-03-18       Impact factor: 4.538

9.  Effect of auditory constraints on motor performance depends on stage of recovery post-stroke.

Authors:  Viswanath Aluru; Ying Lu; Alan Leung; Joe Verghese; Preeti Raghavan
Journal:  Front Neurol       Date:  2014-06-23       Impact factor: 4.003

10.  Surface Electromyographic Examination of Poststroke Neuromuscular Changes in Proximal and Distal Muscles Using Clustering Index Analysis.

Authors:  Weidi Tang; Xu Zhang; Xiao Tang; Shuai Cao; Xiaoping Gao; Xiang Chen
Journal:  Front Neurol       Date:  2018-01-15       Impact factor: 4.003

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