Literature DB >> 11222968

Simulation of the normal concentric needle electromyogram by using a muscle model.

E Stålberg1, L Karlsson.   

Abstract

OBJECTIVES: To study the correlation between anatomical parameters and EMG signals by means of simulations.
METHODS: A mathematical model of the electrical activity from muscle fibres and motor units has been developed. The electrical fields around the muscle fibres are simulated using a line source model. The model permits the simulation of single muscle fibre action potentials obtained by SFEMG, concentric and Macro EMG electrodes. By using appropriate anatomical parameters EMG recordings with these electrodes can be simulated. The model is flexible and permits a number of anatomical parameters to be changed such as; number of muscle fibres in a motor unit, fibre diameter distribution, and motor end-plate geometry. Some physiological parameters can be optionally varied; firing rate, threshold for recruitment, jitter.
RESULTS: In this study, simulations of CNEMG are performed and the influence of a number of parameters on the CNEMG signal is studied. It is shown that the model produces motor unit potentials reasonably well resembling those from live recordings. More important is however the relative change in MUP parameters when certain conditions are changed; number of muscle fibres in a motor unit, recording position, muscle fibre diameters and some special effects of the recording conditions.
CONCLUSIONS: The simulated muscle and corresponding EMG recording can be used both as a research tool and for teaching.

Entities:  

Mesh:

Year:  2001        PMID: 11222968     DOI: 10.1016/s1388-2457(01)00459-x

Source DB:  PubMed          Journal:  Clin Neurophysiol        ISSN: 1388-2457            Impact factor:   3.708


  7 in total

1.  Techniques and applications of EMG: measuring motor units from structure to function.

Authors:  Rachel C Thornton; Andrew W Michell
Journal:  J Neurol       Date:  2012-01-25       Impact factor: 4.849

2.  A muscle architecture model offering control over motor unit fiber density distributions.

Authors:  Javier Navallas; Armando Malanda; Luis Gila; Javier Rodríguez; Ignacio Rodríguez
Journal:  Med Biol Eng Comput       Date:  2010-06-10       Impact factor: 2.602

3.  Comparative evaluation of motor unit architecture models.

Authors:  Javier Navallas; Armando Malanda; Luis Gila; Javier Rodriguez; Ignacio Rodriguez
Journal:  Med Biol Eng Comput       Date:  2009-08-25       Impact factor: 2.602

4.  Innervation zones of fasciculating motor units: observations by a linear electrode array.

Authors:  Faezeh Jahanmiri-Nezhad; Paul E Barkhaus; William Z Rymer; Ping Zhou
Journal:  Front Hum Neurosci       Date:  2015-05-12       Impact factor: 3.169

5.  Motor unit potentials of the erector spinae muscle by concentric needle electromyography.

Authors:  Andreas Posa; Izabela Niśkiewicz; Alexander Emmer; Yorck Kluge; Malte E Kornhuber
Journal:  Brain Behav       Date:  2017-02-16       Impact factor: 2.708

6.  Recruitment in retractor bulbi muscle during eyeblink conditioning: EMG analysis and common-drive model.

Authors:  N F Lepora; J Porrill; C H Yeo; C Evinger; P Dean
Journal:  J Neurophysiol       Date:  2009-08-12       Impact factor: 2.714

7.  Associations between apparent diffusion coefficient and electromyography parameters in myositis-A preliminary study.

Authors:  Hans-Jonas Meyer; Alexander Emmer; Malte Kornhuber; Alexey Surov
Journal:  Brain Behav       Date:  2018-03-30       Impact factor: 2.708

  7 in total

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