Literature DB >> 1488061

Surface EMG in the recording of fasciculations.

R S Howard1, N M Murray.   

Abstract

The usefulness of multichannel surface recording of fasciculations was evaluated by a retrospective study of 116 patients with various neurological disorders. Eight channels of a conventional electroencephalograph were used with plate electrode recordings from the upper arms and legs. Wide-spread fasciculations (defined as five or more of the eight muscle groups) were recorded in 48 of 54 patients with motor neuron disease, spinal muscular atrophy or postpolio syndrome, but noted on routine clinical examination at presentation in only 6. Eleven of 23 patients with peripheral neuropathy or myelopathy had fasciculations in five or more leads compared to one clinically, and 3 of 39 with other neurological diseases had fasciculations electrically but in only one were they clinically observed. The method is a noninvasive and sensitive adjunct to clinical examination for detecting fasciculations. Its diagnostic value is limited by the relatively high incidence of fasciculations in neuropathies and myelopathies. However, this study suggests that "false negatives" are rare and that the diagnosis of motor neuron disease should be reconsidered when less than five leads shows fasciculations.

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Year:  1992        PMID: 1488061     DOI: 10.1002/mus.880151104

Source DB:  PubMed          Journal:  Muscle Nerve        ISSN: 0148-639X            Impact factor:   3.217


  10 in total

1.  A clinically applicable approach for detecting spontaneous action potential spikes in amyotrophic lateral sclerosis with a linear electrode array.

Authors:  Faezeh Jahanmiri-Nezhad; Xiaoyan Li; Paul E Barkhaus; William Z Rymer; Ping Zhou
Journal:  J Clin Neurophysiol       Date:  2014-02       Impact factor: 2.177

2.  Analysis of surface EMG baseline for detection of hidden muscle activity.

Authors:  Xu Zhang; Ping Zhou
Journal:  J Neural Eng       Date:  2014-01-20       Impact factor: 5.379

3.  Sensitivity of fasciculation potential detection is dramatically reduced by spatial filtering of surface electromyography.

Authors:  Faezeh Jahanmiri-Nezhad; Paul E Barkhaus; William Z Rymer; Ping Zhou
Journal:  Clin Neurophysiol       Date:  2013-12-10       Impact factor: 3.708

4.  Spike sorting paradigm for classification of multi-channel recorded fasciculation potentials.

Authors:  Faezeh Jahanmiri-Nezhad; Paul E Barkhaus; William Zev Rymer; Ping Zhou
Journal:  Comput Biol Med       Date:  2014-10-05       Impact factor: 4.589

5.  The role of quantitative electromyography in inclusion body myositis.

Authors:  T H Brannagan; A P Hays; D J Lange; W Trojaborg
Journal:  J Neurol Neurosurg Psychiatry       Date:  1997-12       Impact factor: 10.154

6.  Fasciculations: clinical, electromyographic, and ultrasonographic assessment.

Authors:  C D Reimers; U Ziemann; A Scheel; P Rieckmann; M Kunkel; C Kurth
Journal:  J Neurol       Date:  1996-08       Impact factor: 4.849

7.  A case of bulbospinal muscular atrophy with large fasciculation manifesting as spinal myoclonus.

Authors:  Manabu Inoue; Yasuhiro Kojima; Masutaro Kanda; Koji Tsuzaki; Yoko Shibata; Toshiaki Hamano; Hiroshi Shibasaki
Journal:  Clin Neurophysiol Pract       Date:  2017-02-05

8.  SPiQE: An automated analytical tool for detecting and characterising fasciculations in amyotrophic lateral sclerosis.

Authors:  J Bashford; A Wickham; R Iniesta; E Drakakis; M Boutelle; K Mills; C Shaw
Journal:  Clin Neurophysiol       Date:  2019-04-19       Impact factor: 3.708

9.  Duration of observation required in detecting fasciculation potentials in amyotrophic lateral sclerosis using high-density surface EMG.

Authors:  Ping Zhou; Xiaoyan Li; Faezeh Jahanmiri-Nezhad; William Zev Rymer; Paul E Barkhaus
Journal:  J Neuroeng Rehabil       Date:  2012-10-10       Impact factor: 4.262

10.  The evolving role of surface electromyography in amyotrophic lateral sclerosis: A systematic review.

Authors:  J Bashford; K Mills; C Shaw
Journal:  Clin Neurophysiol       Date:  2019-12-27       Impact factor: 3.708

  10 in total

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