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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Radboud Repository
Article . 2004
Data sources: Radboud Repository
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Muscle & Nerve
Article . 2004 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
Muscle & Nerve
Article . 2004
Muscle & Nerve
Article . 2004
Data sources: Pure Amsterdam UMC
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Motor unit characteristics in healthy subjects and those with postpoliomyelitis syndrome: A high‐density surface EMG study

Authors: Drost, G.; Stegeman, D.F.; Schillings, M.L.; Horemans, H.L.; Janssen, H.M.; Massa, M.; Nollet, F.; +1 Authors

Motor unit characteristics in healthy subjects and those with postpoliomyelitis syndrome: A high‐density surface EMG study

Abstract

AbstractThe purpose of this study was to identify optimal ways to detect neurogenic changes with high‐density surface electromyography (HD‐sEMG). For this purpose, we searched for the variables that most clearly discriminated between postpoliomyelitis and healthy subjects. We obtained HD‐sEMG from the quadriceps muscle at different force levels in nine subjects with postpoliomyelitis syndrome and in matched healthy controls. Single motor unit action potentials (MUAPs), extracted from the HD‐sEMG signal and the raw signal itself, were analyzed. Areas under the curve of the extracted MUAP waveform, indicating motor unit size, perfectly separated both groups. Raw signal analysis showed significant differences between groups for the monopolarly recorded amplitude up to 60% of maximal force and for the level of interference at higher force levels (40–100% force). We conclude that with HD‐sEMG it is possible to detect neurogenic motor unit changes noninvasively, both by analysis of the raw signal itself and by analysis of extracted single MUAPs. The diagnostic yield of the single MUAP analysis is clearly higher. These findings point toward applications for clinical practice and invite further studies exploring the diagnostic value of HD‐sEMG. Muscle Nerve 30: 269–276, 2004

Country
Netherlands
Keywords

Adult, Male, Motor Neurons, Electromyography, Muscle Fibers, Skeletal, Action Potentials, Middle Aged, Humans, Female, UMCN 3.1: Neuromuscular development and genetic disorders, Postpoliomyelitis Syndrome, Muscle, Skeletal, Aged, Muscle Contraction

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
27
Top 10%
Top 10%
Top 10%
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