Literature DB >> 7607102

Multi-MUP EMG analysis--a two year experience in daily clinical work.

E Stålberg1, B Falck, M Sonoo, S Stålberg, M Aström.   

Abstract

A new quantitative motor unit potential (MUP) analysis method, called multi-MUP analysis, is described. Multi-MUP analysis is a type of decomposition analysis of the EMG signal. At each site 6 different MUPs may be recorded during an epoch of 4.8 sec. Calculation time is about 3 sec. A study of 20-30 MUPs including editing takes 4-8 min. Compared to many earlier MUP analysis methods it is faster and more user friendly, therefore it can be used in daily routine EMG analysis. The accuracy and reliability of the method are good. The differences from methods based on manual analysis, spike triggered averaging, template matching and decomposition are discussed. The main advantages of multi-MUP analysis are: (1) quick acquisition of many MUPs; (2) simultaneous collection of several MUPs at one recording site; (3) possibility to analyze not only low threshold MUPs; (4) less bias in the selection of MUPs; and (5) the reproducibility of the results that allow the same reference values to be used in different laboratories. So far we have successfully used this method for 2 years on more than 2000 patients.

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Year:  1995        PMID: 7607102     DOI: 10.1016/0924-980x(95)00007-8

Source DB:  PubMed          Journal:  Electroencephalogr Clin Neurophysiol        ISSN: 0013-4694


  17 in total

1.  Motor unit identification in two neighboring recording positions of the human trapezius muscle during prolonged computer work.

Authors:  Daniel Zennaro; Thomas Läubli; Helmut Krueger
Journal:  Eur J Appl Physiol       Date:  2003-04-24       Impact factor: 3.078

2.  Quantitative motor unit action potential analysis in skeletal muscles in horses and ponies.

Authors:  B Ciminaghi; M Albertini; M Costanzi; F Patrese; M G Clement
Journal:  Vet Res Commun       Date:  2004-08       Impact factor: 2.459

3.  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

4.  MUAP extraction and classification based on wavelet transform and ICA for EMG decomposition.

Authors:  Xiaomei Ren; Xiao Hu; Zhizhong Wang; Zhiguo Yan
Journal:  Med Biol Eng Comput       Date:  2006-04-20       Impact factor: 2.602

5.  Can be sphincter electromyography reference values shared between laboratories?

Authors:  Simon Podnar; W Thomas Gregory
Journal:  Neurourol Urodyn       Date:  2010-11       Impact factor: 2.696

6.  Coexisting idiopathic cervical dystonia and primary vaginismus : a case report.

Authors:  Laura Bertolasi; Emma Frasson; Mara Bottanelli; Silvana Vicentini; Giuseppe Didonè; Alessandra Graziottin
Journal:  J Neurol       Date:  2008-03-20       Impact factor: 4.849

7.  Determining the shape of the turns-amplitude cloud during anal sphincter quantitative EMG.

Authors:  W Thomas Gregory; Amanda L Clark; Kimberly Simmons; Jau-Shin Lou
Journal:  Int Urogynecol J Pelvic Floor Dysfunct       Date:  2008-02-05

8.  A new method for measurement of motor unit action potential duration based on correlation, a pilot study.

Authors:  Ignacio Rodríguez Carreño; Armando Malanda; Luis Gila Useros; Iñaki G Gurtubay; Javier Navallas; Javier Rodríguez-Falces
Journal:  Med Biol Eng Comput       Date:  2020-01-09       Impact factor: 2.602

9.  Quantitative anal sphincter EMG in multisystem atrophy and 100 controls.

Authors:  R Gilad; N Giladi; A D Korczyn; T Gurevich; M Sadeh
Journal:  J Neurol Neurosurg Psychiatry       Date:  2001-11       Impact factor: 10.154

10.  Inhomogeneous neuromuscular injury of the genioglossus muscle in subjects with obstructive sleep apnea.

Authors:  Hong Zhang; Jing-Ying Ye; Lin Hua; Zhao-Hui Chen; Li Ling; Qiang Zhu; Li-Mei Wang; Li Zheng; Yu-Huan Zhang
Journal:  Sleep Breath       Date:  2014-08-10       Impact factor: 2.816

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