Literature DB >> 20719694

Normality and stationarity of EMG signals of elbow flexor muscles during ramp and step isometric contractions.

M Bilodeau1, M Cincera, A B Arsenault, D Gravel.   

Abstract

The purpose of this study was to test the stationarity and normality of electromyographic (EMG) signals obtained while exerting isometric contractions: (a) where a steady force level is maintained (step contractions); and (b) where the force level is increased linearly over time (ramp contractions). Ramp elbow flexions were performed from 0 to 100% of the maximum voluntary contraction (MVC) in a 5-s period. For the step contractions, four force levels (20, 40, 60 and 80% MVC) were maintained for a period of 3 s each. EMG signals of the biceps brachii (BB) and brachioradialis (BR) muscles of 16 subjects were recorded with surface electrodes and digitized at a sampling frequency of 2000 Hz. Tests of normality (Shapiro-Wilk test) and stationarity (reverse arrangement test) were performed locally on short finite time records (512-ms windows). Results show that, in general, EMG signals present a non-Gaussian amplitude distribution and are stationary. Furthermore, the amplitude distribution characteristics and the stationarity of the signal were not dependent on the muscle investigated, nor on the type of contraction or force level tested. The finding of local stationarity for both tasks is important, because it suggests that performing standard spectral analysis is applicable for both step and ramp contractions. It also allows a direct comparison between results obtained under both conditions.

Year:  1997        PMID: 20719694     DOI: 10.1016/s1050-6411(96)00024-7

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


  15 in total

1.  Outlier detection in high-density surface electromyographic signals.

Authors:  Hamid R Marateb; Monica Rojas-Martínez; Marjan Mansourian; Roberto Merletti; Miguel A Mañanas Villanueva
Journal:  Med Biol Eng Comput       Date:  2011-06-23       Impact factor: 2.602

Review 2.  Phrenic motor unit recruitment during ventilatory and non-ventilatory behaviors.

Authors:  Carlos B Mantilla; Gary C Sieck
Journal:  Respir Physiol Neurobiol       Date:  2011-07-06       Impact factor: 1.931

3.  Quantifying muscle alterations in a Parkinson's disease animal model using electromyographic biomarkers.

Authors:  Pablo Y Teruya; Fernando D Farfán; Álvaro G Pizá; Jorge H Soletta; Facundo A Lucianna; Ana L Albarracín
Journal:  Med Biol Eng Comput       Date:  2021-07-23       Impact factor: 2.602

Review 4.  Convergence of pattern generator outputs on a common mechanism of diaphragm motor unit recruitment.

Authors:  Carlos B Mantilla; Yasin B Seven; Gary C Sieck
Journal:  Prog Brain Res       Date:  2014       Impact factor: 2.453

5.  Non-stationarity and power spectral shifts in EMG activity reflect motor unit recruitment in rat diaphragm muscle.

Authors:  Yasin B Seven; Carlos B Mantilla; Wen-Zhi Zhan; Gary C Sieck
Journal:  Respir Physiol Neurobiol       Date:  2012-09-07       Impact factor: 1.931

6.  An investigation of fMRI time series stationarity during motor sequence learning foot tapping tasks.

Authors:  Othman Muhei-aldin; Jessie VanSwearingen; Helmet Karim; Theodore Huppert; Patrick J Sparto; Kirk I Erickson; Ervin Sejdić
Journal:  J Neurosci Methods       Date:  2014-02-11       Impact factor: 2.390

7.  Anomalous EMG-force relations during low-force isometric tasks in hemiparetic stroke survivors.

Authors:  Nina L Suresh; Nicole S Concepcion; Janina Madoff; W Z Rymer
Journal:  Exp Brain Res       Date:  2014-09-17       Impact factor: 1.972

8.  A note on the probability distribution function of the surface electromyogram signal.

Authors:  Kianoush Nazarpour; Ali H Al-Timemy; Guido Bugmann; Andrew Jackson
Journal:  Brain Res Bull       Date:  2012-10-06       Impact factor: 4.077

9.  Application of a self-enhancing classification method to electromyography pattern recognition for multifunctional prosthesis control.

Authors:  Xinpu Chen; Dingguo Zhang; Xiangyang Zhu
Journal:  J Neuroeng Rehabil       Date:  2013-05-01       Impact factor: 4.262

10.  Age-Associated Changes in the Spectral and Statistical Parameters of Surface Electromyogram of Tibialis Anterior.

Authors:  Ariba Siddiqi; Sridhar Poosapadi Arjunan; Dinesh Kant Kumar
Journal:  Biomed Res Int       Date:  2016-08-17       Impact factor: 3.411

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