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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 Muscle & Nervearrow_drop_down
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 . 2020 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
Muscle & Nerve
Article . 2021
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Sensitivity and specificity of single and combined clouds analyses compared with quantitative motor unit potential analysis

Authors: Chuqiao, Li; Anqi, Jiang; Qingyun, Ding; Youfang, Hu; Yao, Wang; Ge, Tian; Honghao, Wang; +3 Authors

Sensitivity and specificity of single and combined clouds analyses compared with quantitative motor unit potential analysis

Abstract

AbstractIntroductionTurns‐amplitude, number of small segments (NSS)‐activity, and envelope‐activity clouds are three methods of electromyography (EMG) interference pattern analysis. Our objective was to evaluate the sensitivity and specificity of each individual cloud analysis and combined clouds analysis to compare with that of quantitative motor unit potential (QMUP) analysis.MethodsA total of 379 muscles from 100 patients were analyzed by both QMUP and clouds analyses. Calculation of sensitivity and specificity was based on the clinical diagnosis as the “gold standard.”ResultsFor discrimination of abnormal vs normal and neuropathic vs non‐neuropathic, combined clouds analysis had greater sensitivity than QMUP analysis and any single cloud analysis, but there were no differences in specificity. For discrimination of myopathic vs non‐myopathic, combined clouds analysis and single cloud analysis had greater sensitivity than QMUP analysis, but there were no differences in specificity.DiscussionCombined clouds analysis was superior to QMUP and each single cloud analysis for distinguishing normal, myopathic, and neuropathic muscles.

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Keywords

Adult, Aged, 80 and over, Male, Adolescent, Myositis, Electromyography, Electrodiagnosis, Amyotrophic Lateral Sclerosis, Mononeuropathies, Middle Aged, Dermatomyositis, Muscular Dystrophies, Diagnosis, Differential, Muscular Atrophy, Spinal, Muscular Diseases, Humans, Female, Motor Neuron Disease, Muscle, Skeletal, Aged

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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!
2
Average
Average
Average
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