Literature DB >> 30106682

A Novel Interpretation of Sample Entropy in Surface Electromyographic Examination of Complex Neuromuscular Alternations in Subacute and Chronic Stroke.

Xiao Tang, Xu Zhang, Xiaoping Gao, Xiang Chen, Ping Zhou.   

Abstract

The objective of this paper was to develop sample entropy (SampEn) as a novel surface electromyogram (EMG) biomarker to quantitatively examine post-stroke neuromuscular alternations. The SampEn method was performed on surface EMG interference patterns recorded from biceps brachii muscles of nine healthy control subjects, fourteen subjects with subacute stroke, and eleven subjects with chronic stroke, respectively. Measurements were collected during isometric contractions of elbow flexion at different constant force levels. By producing diagnostic decisions for individual muscles, two categories of abnormalities in some paretic muscles were discriminated in terms of abnormally increased and decreased SampEn. The efficiency of the SampEn was demonstrated by its comparable performance with a previously reported clustering index (CI) method. Mixed SampEn (or CI) patterns were observed in paretic muscles of subjects with stroke indicating complex neuromuscular changes at work as a result of a hemispheric brain lesion. Although both categories of SampEn (or CI) abnormalities were observed in both subacute and chronic stages of stroke, the underlying processes contributing to the SampEn abnormalities might vary a lot in stroke stage. The SampEn abnormalities were also found in contralateral muscles of subjects with chronic stroke indicating the necessity of applying interventions to contralateral muscles during stroke rehabilitation. Our work not only presents a novel method for quantitative examination of neuromuscular changes, but also explains the neuropathological mechanisms of motor impairments and offers guidelines for a better design of effective rehabilitation protocols toward improved motor recovery.

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Year:  2018        PMID: 30106682      PMCID: PMC6344944          DOI: 10.1109/TNSRE.2018.2864317

Source DB:  PubMed          Journal:  IEEE Trans Neural Syst Rehabil Eng        ISSN: 1534-4320            Impact factor:   3.802


  45 in total

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Review 4.  The extraction of neural strategies from the surface EMG: an update.

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6.  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
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Authors:  Shanthi Mendis
Journal:  Int J Stroke       Date:  2013-01       Impact factor: 5.266

9.  Model based sensitivity analysis of EMG-force relation with respect to motor unit properties: applications to muscle paresis in stroke.

Authors:  Ping Zhou; Nina L Suresh; William Z Rymer
Journal:  Ann Biomed Eng       Date:  2007-05-26       Impact factor: 3.934

10.  Analysis of linear electrode array EMG for assessment of hemiparetic biceps brachii muscles.

Authors:  Bo Yao; Xu Zhang; Sheng Li; Xiaoyan Li; Xiang Chen; Cliff S Klein; Ping Zhou
Journal:  Front Hum Neurosci       Date:  2015-10-23       Impact factor: 3.169

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  4 in total

1.  Quantitative Assessment of Traumatic Upper-Limb Peripheral Nerve Injuries Using Surface Electromyography.

Authors:  Weidi Tang; Xu Zhang; Yong Sun; Bo Yao; Xiang Chen; Xun Chen; Xiaoping Gao
Journal:  Front Bioeng Biotechnol       Date:  2020-07-17

2.  Spatial filtering for enhanced high-density surface electromyographic examination of neuromuscular changes and its application to spinal cord injury.

Authors:  Xu Zhang; Xinhui Li; Xiao Tang; Xun Chen; Xiang Chen; Ping Zhou
Journal:  J Neuroeng Rehabil       Date:  2020-12-03       Impact factor: 4.262

3.  Towards Evaluating Pitch-Related Phonation Function in Speech Communication Using High-Density Surface Electromyography.

Authors:  Mingxing Zhu; Xin Wang; Hanjie Deng; Yuchao He; Haoshi Zhang; Zhenzhen Liu; Shixiong Chen; Mingjiang Wang; Guanglin Li
Journal:  Front Neurosci       Date:  2022-07-22       Impact factor: 5.152

Review 4.  Comparative Review of the Algorithms for Removal of Electrocardiographic Interference from Trunk Electromyography.

Authors:  Lin Xu; Elisabetta Peri; Rik Vullings; Chiara Rabotti; Johannes P Van Dijk; Massimo Mischi
Journal:  Sensors (Basel)       Date:  2020-08-29       Impact factor: 3.576

  4 in total

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