Literature DB >> 18816611

American Association of Neuromuscular & Electrodiagnostic Medicine evidenced-based review: use of surface electromyography in the diagnosis and study of neuromuscular disorders.

Gregg D Meekins1, Yuen So, Dianna Quan.   

Abstract

Surface electromyography (sEMG) measures myoelectrical signals recorded from sensors placed on the skin surface. The non-invasive nature of sEMG makes it a potentially useful technology for studying diseases of muscle and nerve. Reviews published by the American Association of Neuromuscular and Electrodiagnostic Medicine (AANEM) and the Therapeutics and Technology Assessment Subcommittee of the American Academy of Neurology (AAN), covering 1964-1994 and 1952-1998, respectively, concluded that sEMG adds no clinical utility over conventional needle EMG (nEMG) for the diagnosis of neuromuscular disease. The AANEM sEMG task force reevaluated the diagnostic utility and added value of this technology for the study of neuromuscular disease based on a contemporary review of relevant literature published between January 1994 and February 2006. The present review concludes that sEMG may be useful to detect the presence of neuromuscular disease (level C rating, class III data), but there are insufficient data to support its utility for distinguishing between neuropathic and myopathic conditions or for the diagnosis of specific neuromuscular diseases. sEMG may be useful for additional study of fatigue associated with post-poliomyelitis syndrome and electromechanical function in myotonic dystrophy (level C rating, class III data).

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Year:  2008        PMID: 18816611     DOI: 10.1002/mus.21055

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


  10 in total

1.  Respiratory motor control disrupted by spinal cord injury: mechanisms, evaluation, and restoration.

Authors:  Daniela G L Terson de Paleville; William B McKay; Rodney J Folz; Alexander V Ovechkin
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2.  Long-term efficacy and side effects of low-dose tacrolimus for the treatment of Myasthenia Gravis.

Authors:  Xiaoyong Tao; Wei Wang; Feng Jing; Zhongkui Wang; Yuping Chen; Dongning Wei; Xusheng Huang
Journal:  Neurol Sci       Date:  2016-11-21       Impact factor: 3.307

3.  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

4.  Knowledge of electromyography (EMG) in patients undergoing EMG examinations.

Authors:  Mauro Mondelli; Alessandro Aretini; Giuseppe Greco
Journal:  Funct Neurol       Date:  2014 Jul-Sep

5.  Musculoskeletal disorders early diagnosis: A retrospective study in the occupational medicine setting.

Authors:  John Kulin; MaryRose Reaston
Journal:  J Occup Med Toxicol       Date:  2011-01-05       Impact factor: 2.646

6.  Comparison of activity and fatigue of the respiratory muscles and pulmonary characteristics between post-polio patients and controls: A pilot study.

Authors:  David Shoseyov; Tali Cohen-Kaufman; Isabella Schwartz; Sigal Portnoy
Journal:  PLoS One       Date:  2017-07-27       Impact factor: 3.240

7.  "It's All Sort of Cool and Interesting…but What Do I Do With It?" A Qualitative Study of Stroke Survivors' Perceptions of Surface Electromyography.

Authors:  Heather A Feldner; Christina Papazian; Keshia Peters; Katherine M Steele
Journal:  Front Neurol       Date:  2020-09-17       Impact factor: 4.003

Review 8.  Clinical Relevance of State-of-the-Art Analysis of Surface Electromyography in Cerebral Palsy.

Authors:  Germana Cappellini; Francesca Sylos-Labini; Carla Assenza; Laura Libernini; Daniela Morelli; Francesco Lacquaniti; Yury Ivanenko
Journal:  Front Neurol       Date:  2020-12-11       Impact factor: 4.003

9.  Back to basics when referring for an electrodiagnostic test.

Authors:  Diaa K Shehab; Ahmad Jasem Abdulsalam; Levent Özçakar
Journal:  J Res Med Sci       Date:  2022-03-17       Impact factor: 1.852

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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