Literature DB >> 11054745

Physiologic basis of potentials recorded in electromyography.

D Dumitru1.   

Abstract

The extracellularly recorded configuration of a single muscle fiber discharge is generally appreciated to be triphasic with an initially positive deflection. However, careful attention to waveform appearance during the electrodiagnostic medicine examination reveals that both innervated and denervated muscle waveforms may display a pantheon of configurations. Further, despite the fact that innervated and denervated single muscle fiber discharges arise from distinctly different intracellular action potential (IAP) configurations, their extracellularly recorded waveforms can appear quite similar, leading to potential misidentification and, hence, the possibility of an erroneous diagnostic conclusion. The least appreciated, but nevertheless critical, aspect of explanations for muscle waveform configurations is the relationship between the muscle fiber and recording electrode. Additionally, it is important to appreciate both the near-field and far-field aspects of single fiber and compound muscle action potentials. In this review, the leading/trailing dipole model is used to explain muscle waveform configurations in both innervated and denervated tissues. Copyright 2000 John Wiley & Sons, Inc.

Mesh:

Year:  2000        PMID: 11054745     DOI: 10.1002/1097-4598(200011)23:11<1667::aid-mus2>3.0.co;2-h

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


  7 in total

1.  Three-Dimensional Innervation Zone Imaging from Multi-Channel Surface EMG Recordings.

Authors:  Yang Liu; Yong Ning; Sheng Li; Ping Zhou; William Z Rymer; Yingchun Zhang
Journal:  Int J Neural Syst       Date:  2015-09       Impact factor: 5.866

2.  Femoral nerve and lumbar plexus injury after minimally invasive lateral retroperitoneal transpsoas approach: electrodiagnostic prognostic indicators and a roadmap to recovery.

Authors:  Naomi A Abel; Jacob Januszewski; Andrew C Vivas; Juan S Uribe
Journal:  Neurosurg Rev       Date:  2017-05-30       Impact factor: 3.042

3.  Measuring conduction velocity distributions in peripheral nerves using neurophysiological techniques.

Authors:  Zhen Ni; Felipe Vial; Alexandru V Avram; Giorgio Leodori; Sinisa Pajevic; Peter J Basser; Mark Hallett
Journal:  Clin Neurophysiol       Date:  2020-04-29       Impact factor: 3.708

4.  Pitfalls in using electrophysiological studies to diagnose neuromuscular disorders.

Authors:  Yong Seo Koo; Charles S Cho; Byung-Jo Kim
Journal:  J Clin Neurol       Date:  2012-03-31       Impact factor: 3.077

5.  Teaching Essential EMG Theory to Kinesiologists and Physical Therapists Using Analogies Visual Descriptions, and Qualitative Analysis of Biophysical Concepts.

Authors:  David A Gabriel
Journal:  Sensors (Basel)       Date:  2022-08-30       Impact factor: 3.847

6.  An Empirical Muscle Intracellular Action Potential Model with Multiple Erlang Probability Density Functions based on a Modified Newton Method.

Authors:  Gyutae Kim; Mohammed M Ferdjallah; Frederic D McKenzie
Journal:  Biomed Eng Comput Biol       Date:  2013-04-14

7.  Electromyography of the muscle spindle.

Authors:  Juhani V Partanen; Jukka Vanhanen; Sara K Liljander
Journal:  Sci Rep       Date:  2022-03-10       Impact factor: 4.379

  7 in total

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