Average proportional consecutive interval difference accurately differentiates spontaneous activity from motor unit potentials.
APCID
MCD
electromyography
fibrillations
irregular
motor unit potentials
positive sharp waves
regularity
spontaneous activity
Journal
Muscle & nerve
ISSN: 1097-4598
Titre abrégé: Muscle Nerve
Pays: United States
ID NLM: 7803146
Informations de publication
Date de publication:
11 2019
11 2019
Historique:
received:
13
12
2018
revised:
12
08
2019
accepted:
18
08
2019
pubmed:
24
8
2019
medline:
14
1
2020
entrez:
24
8
2019
Statut:
ppublish
Résumé
An objective method is required to detect spontaneous activity (SA) for prevalence studies in needle electromyography (EMG). Because of frequent similarities in the morphology of SA and motor unit potentials (MUP), identification of SA depends on assessment of firing regularity, which has not yet been quantitated through a modern interface. Prospective recordings obtained from patients referred for electrodiagnostic evaluation were analyzed by using decomposition-based quantitative EMG (DQEMG) customized to calculate descriptive statistics. Forty-four MUP recordings (39 participants) and 80 SA recordings (62 participants) were analyzed. One hundred one of 124 recordings successfully interfaced with DQEMG. The remaining recordings were analyzed in Audacity. Average proportional consecutive interval differences differentiated SA from MUPs with 97.5% sensitivity (confidence interval [CI] 91.3%-99.7%) and 100.0% specificity (CI 92%-100%). There was substantial overlap, however, for SD and mean consecutive differences. Average proportional consecutive interval difference accurately differentiates SA from MUPs and may be useful in future prevalence studies of SA.
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
566-570Informations de copyright
© 2019 Wiley Periodicals, Inc.
Références
Gilad R, Dabby R, Boaz M, Sadeh M. Cervical paraspinal electromyography: normal values in 100 control subjects. J Clin Neurophysiol. 2006;23:573-576.
Date ES, Kim BJ, Yoon JS, Park BK. Cervical paraspinal spontaneous activity in asymptomatic subjects. Muscle Nerve. 2006;34:361-364.
Dumitru D, Diaz CA, King JC. Prevalence of denervation in paraspinal and foot intrinsic musculature. Am J Phys Med Rehabil. 2001;80(7):482-490.
Trontelj J, Stålberg E. Bizarre repetitive discharges recorded with single fibre EMG. J Neurol Neurosurg Psychiatry. 1983;46:310-316.
Kendall R, Werner R. Interrater reliability of the needle examination in lumbosacral radiculopathy. Muscle Nerve. 2006;34:238-241.
Chouteau WL, Annaswamy TH, Bierner SM, Elliott AC, Figueroa I. Interrater reliability of needle electromyographic findings in lumbar radiculopathy. Am J Phys Med Rehabil. 2010;89:561-569.
Narananaswami P, Geisbush T, Jones L, et al. Critically re-evaluating a common technique: accuracy, reliability, and confirmation bias of EMG. Neurology. 2016;86:218-223.
Ekstedt J, Nilsson G. Stålberg. Calculation of the electromyographic jitter. J Neurol Neurosurg Psychiatry. 1974;37:526-539.
Conrad B, Sindermann F. Prochazka. Interval analysis of repetitive denervation potentials of human skeletal muscle. J Neurol Neurosurg Psychiatry. 1972;35:834-840.
Heckmann R, Ludin HP. Differentiation of spontaneous activity from normal and denervated skeletal muscle. J Neurol Neurosurg Psychiatry. 1982;45:331-336.
Stashuk D. Decomposition and quantitative analysis of clinical electromyographic signals. Med Eng Phys. 1999;21:389-404.