Literature DB >> 19042063

Technology and instrumentation for detection and conditioning of the surface electromyographic signal: state of the art.

Roberto Merletti1, Alberto Botter, Amedeo Troiano, Enrico Merlo, Marco Alessandro Minetto.   

Abstract

The aim of this review is to present the state of the art of the technology of detection and conditioning systems for surface electromyography (sEMG). The first part of the manuscript focuses on the sEMG electrode system technology: the electrode classification, impedance, noise, transfer function, the spatial filtering effect of surface electrode configurations, the effects of electrode geometry, and location on the recorded sEMG signal. Examples of experimental sEMG signals are provided to show the potential value of high-density sEMG electrode grids and multichannel amplifiers that allow to add spatial information to the temporal information content of the sEMG signal. Furthermore, the results of a simple simulation are reported, in order to emphasize the effects of the subcutaneous tissue layers and of the detection volume on the recorded sEMG signal. The second part of the manuscript focuses on the sEMG amplifier technology: the front end amplifier characteristics for signal conditioning, the methods for stimulation artifact reduction, filtering methods, safety requirements, and the methods for analog-to-digital conversion of the sEMG signal.

Mesh:

Year:  2008        PMID: 19042063     DOI: 10.1016/j.clinbiomech.2008.08.006

Source DB:  PubMed          Journal:  Clin Biomech (Bristol, Avon)        ISSN: 0268-0033            Impact factor:   2.063


  40 in total

1.  Improved tolerance of peripheral fatigue by the central nervous system after endurance training.

Authors:  F Zghal; F Cottin; I Kenoun; H Rebaï; W Moalla; M Dogui; Z Tabka; V Martin
Journal:  Eur J Appl Physiol       Date:  2015-02-14       Impact factor: 3.078

2.  Spinal and corticospinal pathways are differently modulated when standing at the bottom and the top of a three-step staircase in young and older adults.

Authors:  Johanna Johannsson; Jacques Duchateau; Stéphane Baudry
Journal:  Eur J Appl Physiol       Date:  2017-04-13       Impact factor: 3.078

3.  Preferred sensor sites for surface EMG signal decomposition.

Authors:  Farah Zaheer; Serge H Roy; Carlo J De Luca
Journal:  Physiol Meas       Date:  2012-01-20       Impact factor: 2.833

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

Authors:  Faezeh Jahanmiri-Nezhad; Xiaoyan Li; Paul E Barkhaus; William Z Rymer; Ping Zhou
Journal:  J Clin Neurophysiol       Date:  2014-02       Impact factor: 2.177

5.  Motor unit number estimation based on high-density surface electromyography decomposition.

Authors:  Yun Peng; Jinbao He; Bo Yao; Sheng Li; Ping Zhou; Yingchun Zhang
Journal:  Clin Neurophysiol       Date:  2016-06-25       Impact factor: 3.708

6.  Electromyographic characteristics of gait impairment in cervical spondylotic myelopathy.

Authors:  Ailish Malone; Dara Meldrum; John Gleeson; Ciaran Bolger
Journal:  Eur Spine J       Date:  2013-08-02       Impact factor: 3.134

7.  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

8.  Combined Transcranial Direct Current Stimulation and Virtual Reality-Based Paradigm for Upper Limb Rehabilitation in Individuals with Restricted Movements. A Feasibility Study with a Chronic Stroke Survivor with Severe Hemiparesis.

Authors:  María Antonia Fuentes; Adrián Borrego; Jorge Latorre; Carolina Colomer; Mariano Alcañiz; María José Sánchez-Ledesma; Enrique Noé; Roberto Llorens
Journal:  J Med Syst       Date:  2018-04-02       Impact factor: 4.460

9.  Three-dimensional gait analysis outcomes at 1 year following decompressive surgery for cervical spondylotic myelopathy.

Authors:  Ailish Malone; Dara Meldrum; Ciaran Bolger
Journal:  Eur Spine J       Date:  2014-03-13       Impact factor: 3.134

10.  Electromyographic responses during time get up and go test in water (wTUG).

Authors:  Antonio I Cuesta-Vargas; Carlos Cano-Herrera; Danielle Formosa; Brendan Burkett
Journal:  Springerplus       Date:  2013-05-10
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