Literature DB >> 8600172

Methods for estimating the numbers of motor units in human muscles.

T Doherty1, Z Simmons, B O'Connell, K J Felice, R Conwit, K M Chan, T Komori, T Brown, D W Stashuk, W F Brown.   

Abstract

After the introduction by A. J. McComas of the original method for estimating the number of motor units based on manual incremental stimulation of a motor nerve, several new techniques have been developed, designed to correct for some of the errors inherent in the original technique. These methods incorporate algorithms to adjust for alternation and, to a greater or lesser extent, automate the methods, rendering the techniques less subject to operator bias and various physiological and technical errors. This review explores the advantages and drawbacks in the multiple-point stimulation (MPS), spike-triggered averaging (STA), and decomposition-enhanced STA techniques, illustrates some of the current applications of the techniques, and explores some tantalizing prospects for new studies of motor-unit physiology in the future.

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Year:  1995        PMID: 8600172     DOI: 10.1097/00004691-199511000-00004

Source DB:  PubMed          Journal:  J Clin Neurophysiol        ISSN: 0736-0258            Impact factor:   2.177


  8 in total

1.  Electromyographic patterns suggest changes in motor unit physiology associated with early osteoarthritis of the knee.

Authors:  S M Ling; R A Conwit; L Talbot; M Shermack; J E Wood; E M Dredge; M J Weeks; D R Abernethy; E J Metter
Journal:  Osteoarthritis Cartilage       Date:  2007-05-31       Impact factor: 6.576

2.  Test--retest reliability of a modified multiple point stimulation technique for motor unit number estimation.

Authors:  Cheryl L Porter; Arodi Alvarez; Kelvin E Jones; K Ming Chan
Journal:  Clin Neurophysiol       Date:  2008-09-02       Impact factor: 3.708

3.  Robust supervised classification of motor unit action potentials.

Authors:  D Stashuk; G M Paoli
Journal:  Med Biol Eng Comput       Date:  1998-01       Impact factor: 2.602

4.  Application of the F-Response for Estimating Motor Unit Number and Amplitude Distribution in Hand Muscles of Stroke Survivors.

Authors:  Xiaoyan Li; Morris Fisher; William Zev Rymer; Ping Zhou
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2015-07-08       Impact factor: 3.802

5.  Assessing motor deficits in compressive neuropathy using quantitative electromyography.

Authors:  Joseph Nashed; Andrew Hamilton-Wright; Daniel W Stashuk; Matthew Faris; Linda McLean
Journal:  J Neuroeng Rehabil       Date:  2010-08-11       Impact factor: 4.262

6.  Age-associated changes in motor unit physiology: observations from the Baltimore Longitudinal Study of Aging.

Authors:  Shari M Ling; Robin A Conwit; Luigi Ferrucci; E Jeffrey Metter
Journal:  Arch Phys Med Rehabil       Date:  2009-07       Impact factor: 3.966

7.  Reliability of a modified motor unit number index (MUNIX) technique.

Authors:  Ryan D Kaya; Richard L Hoffman; Brian C Clark
Journal:  J Electromyogr Kinesiol       Date:  2013-10-16       Impact factor: 2.368

8.  The relationship between ciliary neurotrophic factor (CNTF) genotype and motor unit physiology: preliminary studies.

Authors:  Robin A Conwit; Shari Ling; Stephen Roth; Daniel Stashuk; Ben Hurley; Robert Ferrell; E Jeffrey Metter
Journal:  BMC Physiol       Date:  2005-09-23
  8 in total

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