Literature DB >> 16516549

The role of different EMG methods in evaluating myopathy.

Anders Fuglsang-Frederiksen1.   

Abstract

For the diagnosis of myopathy, EMG may have an important role along with blood tests, muscle biopsies and genetic testing. This review evaluates different EMG methods in the diagnosis of myopathy. These include manual analysis of individual motor unit potentials and multi-motor unit potential analysis sampled at weak effort. At high effort, turns-amplitude analyses such as the cloud analysis and the peak ratio analysis have a high diagnostic yield. The EMG can seldom be used to differentiate between different types of myopathy. In the channelopathies, myotonia, exercise test and cooling of the muscle are helpful. Macro-EMG, single-fibre EMG and muscle fibre conduction velocity analysis have a limited role in myopathy, but provide information about the changes seen. Analysis of the firing rate of motor units, power spectrum analysis, as well as multichannel surface EMG may have diagnostic potential in the future. EMG is of great importance in the diagnosing of patients with myopathy, preferably a needle electrode and quantitative analyses should be used. A combination of a method at weak effort as well as a method at stronger effort seems optimal.

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Year:  2006        PMID: 16516549     DOI: 10.1016/j.clinph.2005.12.018

Source DB:  PubMed          Journal:  Clin Neurophysiol        ISSN: 1388-2457            Impact factor:   3.708


  12 in total

1.  Techniques and applications of EMG: measuring motor units from structure to function.

Authors:  Rachel C Thornton; Andrew W Michell
Journal:  J Neurol       Date:  2012-01-25       Impact factor: 4.849

2.  Validating motor unit firing patterns extracted by EMG signal decomposition.

Authors:  Hossein Parsaei; Faezeh Jahanmiri Nezhad; Daniel W Stashuk; Andrew Hamilton-Wright
Journal:  Med Biol Eng Comput       Date:  2010-11-02       Impact factor: 2.602

3.  Effects of PTH(1-84) therapy on muscle function and quality of life in hypoparathyroidism: results from a randomized controlled trial.

Authors:  T Sikjaer; L Rolighed; A Hess; A Fuglsang-Frederiksen; L Mosekilde; L Rejnmark
Journal:  Osteoporos Int       Date:  2014-04-01       Impact factor: 4.507

4.  The clinical use of macro and surface electromyography in diagnosis and follow-up of endocrine and drug-induced myopathies.

Authors:  M A Minetto; A Rainoldi; J F Jabre
Journal:  J Endocrinol Invest       Date:  2007-10       Impact factor: 4.256

5.  Multiscale entropy-based approach to automated surface EMG classification of neuromuscular disorders.

Authors:  Rok Istenic; Prodromos A Kaplanis; Constantinos S Pattichis; Damjan Zazula
Journal:  Med Biol Eng Comput       Date:  2010-05-21       Impact factor: 2.602

6.  Whole-body muscle MRI to detect myopathies in non-extrapyramidal bent spine syndrome.

Authors:  Mickaël Ohana; Marie-Christine Durand; Catherine Marty; Jean-Philippe Lazareth; Thierry Maisonobe; Dominique Mompoint; Robert-Yves Carlier
Journal:  Skeletal Radiol       Date:  2014-05-31       Impact factor: 2.199

7.  Dysphagia in Duchenne muscular dystrophy assessed objectively by surface electromyography.

Authors:  Sally K Archer; Rachel Garrod; Nicholas Hart; Simon Miller
Journal:  Dysphagia       Date:  2012-11-21       Impact factor: 3.438

8.  Analysis of Muscle Fatigue Progression using Cyclostationary Property of Surface Electromyography Signals.

Authors:  P A Karthick; G Venugopal; S Ramakrishnan
Journal:  J Med Syst       Date:  2015-11-07       Impact factor: 4.460

9.  A correlative study of quantitative EMG and biopsy findings in 31 patients with myopathies.

Authors:  E Dardiotis; E Papathanasiou; I Vonta; G Hadjigeorgiou; E Zamba-Papanicolaou; T Kyriakides
Journal:  Acta Myol       Date:  2011-06

10.  An Android Application for Estimating Muscle Onset Latency using Surface EMG Signal.

Authors:  M Karimpour; H Parsaei; Z Rojhani-Shirazi; R Sharifian; F Yazdani
Journal:  J Biomed Phys Eng       Date:  2019-04-01
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