Literature DB >> 21133837

Advances in surface EMG: recent progress in detection and processing techniques.

Roberto Merletti1, Matteo Aventaggiato, Alberto Botter, Ales Holobar, Hamid Marateb, Taian M M Vieira.   

Abstract

This article is the first section of a review work structured in three parts and concerning a) advances in surface EMG detection and processing techniques, b) recent progress in surface EMG clinical research applications and, c) myoelectric control in neurorehabilitation. This article deals with the state of the art regarding a) the electrode-skin interface (equivalent circuits, skin treatment, conductive gels), b) signal detection modalities, spatial filters and front-end amplifiers, c) power line interference removal, separation of propagating and non-propagating potentials and removal of outliers from surface EMG signal maps, d) segmentation of surface EMG signal maps, e) decomposition of surface EMG into the constituent action potential trains, and f) relationship between surface EMG and force. The material is presented with an effort to fill gaps left by previous reviews and identify areas open for future research.

Mesh:

Year:  2010        PMID: 21133837     DOI: 10.1615/critrevbiomedeng.v38.i4.10

Source DB:  PubMed          Journal:  Crit Rev Biomed Eng        ISSN: 0278-940X


  26 in total

1.  Spatial variability in cortex-muscle coherence investigated with magnetoencephalography and high-density surface electromyography.

Authors:  Harri Piitulainen; Alberto Botter; Mathieu Bourguignon; Veikko Jousmäki; Riitta Hari
Journal:  J Neurophysiol       Date:  2015-09-09       Impact factor: 2.714

2.  Adaptive common average filtering for myocontrol applications.

Authors:  Hubertus Rehbaum; Dario Farina
Journal:  Med Biol Eng Comput       Date:  2014-11-12       Impact factor: 2.602

Review 3.  Improving the functionality, robustness, and adaptability of myoelectric control for dexterous motion restoration.

Authors:  Dapeng Yang; Yikun Gu; Nitish V Thakor; Hong Liu
Journal:  Exp Brain Res       Date:  2018-11-30       Impact factor: 1.972

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

Authors:  Xu Zhang; Ping Zhou
Journal:  J Neural Eng       Date:  2014-01-20       Impact factor: 5.379

5.  When 90% of the variance is not enough: residual EMG from muscle synergy extraction influences task performance.

Authors:  Victor R Barradas; Jason J Kutch; Toshihiro Kawase; Yasuharu Koike; Nicolas Schweighofer
Journal:  J Neurophysiol       Date:  2020-04-08       Impact factor: 2.714

6.  Automatic Multichannel Intramuscular Electromyogram Decomposition: Progressive FastICA Peel-Off and Performance Validation.

Authors:  Maoqi Chen; Xu Zhang; Ping Zhou
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2018-11-20       Impact factor: 3.802

7.  Spike sorting paradigm for classification of multi-channel recorded fasciculation potentials.

Authors:  Faezeh Jahanmiri-Nezhad; Paul E Barkhaus; William Zev Rymer; Ping Zhou
Journal:  Comput Biol Med       Date:  2014-10-05       Impact factor: 4.589

8.  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

9.  A Novel Validation Approach for High-Density Surface EMG Decomposition in Motor Neuron Disease.

Authors:  Maoqi Chen; Xu Zhang; Ping Zhou
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2018-06       Impact factor: 3.802

10.  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

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