Literature DB >> 15301779

From cell to movement: to what answers does EMG really contribute?

G Rau1, E Schulte, C Disselhorst-Klug.   

Abstract

This paper aims to address some of the possibilities and limitations of EMG technologies available to date. Considerable progress has been achieved in this field during the last 30 years and EMG signals can be easily obtained on different levels beginning at the cell membrane and ending with the global EMG associated with the movement itself. Different aspects from cell to movement have been considered in this paper. Highly selective needle EMG for the detection of the processes at the membrane is discussed as well as high spatial resolution EMG which gives non-invasive access to the acquisition of the single motor unit activity. On the highest level of muscles, an expert system is introduced as a novel approach to support the interpretation of muscular co-ordination as detected by conventional surface EMG. While there is a high potential in the newly developed EMG methodologies, it is a big challenge to utilize these methodologies in order to obtain detailed, repeatable, reliable--and meaningful--results. However, the risk of over- and misinterpretation has to be carefully considered. In this paper, this risk is exemplified in situations dealing with muscle fatigue, conduction velocity and cross-talk. Despite all the new possibilities available, the authors recommend that EMG with its inherent strengths and limitations should still be diligently, but carefully, used.

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Year:  2004        PMID: 15301779     DOI: 10.1016/j.jelekin.2004.02.001

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


  12 in total

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2.  A clinically applicable approach for detecting spontaneous action potential spikes in amyotrophic lateral sclerosis with a linear electrode array.

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3.  Analysis of surface EMG baseline for detection of hidden muscle activity.

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

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Journal:  IEEE Trans Biomed Eng       Date:  2014-11-07       Impact factor: 4.538

5.  Multiscale entropy-based approach to automated surface EMG classification of neuromuscular disorders.

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7.  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

8.  Motor unit innervation zone localization based on robust linear regression analysis.

Authors:  Jie Liu; Sheng Li; Faezeh Jahanmiri-Nezhad; William Zev Rymer; Ping Zhou
Journal:  Comput Biol Med       Date:  2019-01-14       Impact factor: 4.589

9.  Duration of observation required in detecting fasciculation potentials in amyotrophic lateral sclerosis using high-density surface EMG.

Authors:  Ping Zhou; Xiaoyan Li; Faezeh Jahanmiri-Nezhad; William Zev Rymer; Paul E Barkhaus
Journal:  J Neuroeng Rehabil       Date:  2012-10-10       Impact factor: 4.262

10.  The myth of the 'unaffected' side after unilateral stroke: is reorganisation of the non-infarcted corticospinal system to re-establish balance the price for recovery?

Authors:  S Graziadio; L Tomasevic; G Assenza; F Tecchio; J A Eyre
Journal:  Exp Neurol       Date:  2012-09-07       Impact factor: 5.330

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