Optimized analysis of surface electromyograms of the scalenes during quiet breathing in humans

Details

Serval ID
serval:BIB_3A797079BF6F
Type
Article: article from journal or magazin.
Collection
Publications
Title
Optimized analysis of surface electromyograms of the scalenes during quiet breathing in humans
Journal
Respir Physiol Neurobiol
Author(s)
Hug F., Raux M., Prella M., Morelot-Panzini C., Straus C., Similowski T.
ISSN
1569-9048 (Print)
ISSN-L
1569-9048
Publication state
Published
Issued date
2006
Volume
150
Number
1
Pages
75-81
Language
english
Notes
Hug, Francois
Raux, Mathieu
Prella, Maura
Morelot-Panzini, Capucine
Straus, Christian
Similowski, Thomas
eng
Comparative Study
Research Support, Non-U.S. Gov't
Netherlands
Respir Physiol Neurobiol. 2006 Jan 25;150(1):75-81. doi: 10.1016/j.resp.2005.04.008.
Abstract
Studying the inspiratory recruitment of the scalenes is clinically relevant, but the interpretation of surface electromyographic (EMG) recordings is difficult. The aim of this study was to optimize an averaging method to analyze the surface EMG activity of the scalenes. Ten healthy subjects were studied. Nasal flow and surface EMG of the right scalene were recorded during 15 min epochs of quiet breathing. In four subjects, needle scalene EMG was also recorded. The flow signal was used to trigger the ensemble averaging of the ventilatory wave forms from 80 consecutive breaths. In eight cases, this evidenced a phasic inspiratory activation of the scalenes and permitted the determination of the electromechanical inspiratory delay (134+/-55 ms) and post-inspiratory activity (811+/-233 ms). When simultaneously available, surface and intramuscular recordings provided identical results. An averaging method triggered from a respiratory flow signal can identify and characterize a low phasic inspiratory activity of the scalenes within a noisy surface signal.
Keywords
Adult, *Electromyography, Female, Humans, Inhalation/*physiology, Male, Muscle, Skeletal/*physiology, *Respiration, *Signal Processing, Computer-Assisted
Pubmed
Create date
07/06/2021 14:50
Last modification date
08/06/2021 5:37
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