Literature DB >> 22019132

Effect of innervation zones in estimating biceps brachii force-EMG relationship during isometric contraction.

Timo Rantalainen1, Adam Kłodowski, Harri Piitulainen.   

Abstract

Measuring muscle forces in vivo is invasive and consequently indirect methods e.g., electromyography (EMG) are used in estimating muscular force production. The aim of the present paper was to examine what kind of effect the disruption of the physiological signal caused by the innervation zone has in predicting the force/torque output from surface EMG. Twelve men (age 26 (SD ±3)years; height 179 (±6)cm; body mass 73 (±6)kg) volunteered as subjects. They were asked to perform maximal voluntary isometric contraction (MVC) in elbow flexion, and submaximal contractions at 10%, 20%, 30%, 40%, 50% and 75% of the recorded MVC. EMG was measured from biceps brachii muscle with an electrode grid of 5 columns×13 rows. Force-EMG relationships were determined from individual channels and as the global mean value. The relationship was deemed inconsistent if EMG value did not increase in successive force levels. Root mean squared errors were calculated for 3rd order polynomial fits. All subjects had at least one (4-52) inconsistent channel. Two subjects had inconsistent relationship calculated from the global mean. The mean root mean squared error calculated using leave one out method for the fits of the individual channels (0.33±0.17) was higher (P<0.001) than the error for the global mean fit (0.16±0.08). It seems that the disruption of the physiological signal caused by the innervation zone affects the consistency of the force-EMG relationship on single bipolar channel level. Multichannel EMG recordings used for predicting force overcame this disruption. Crown
Copyright © 2011. Published by Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 22019132     DOI: 10.1016/j.jelekin.2011.09.012

Source DB:  PubMed          Journal:  J Electromyogr Kinesiol        ISSN: 1050-6411            Impact factor:   2.368


  4 in total

1.  Investigation of the EMG-time relationship of the biceps Brachii muscle during contractions.

Authors:  Nizam Uddin Ahamed; Nasim Ahmed; Mahdi Alqahtani; Omar Altwijri; R Badlishah Ahmad; Kenneth Sundaraj
Journal:  J Phys Ther Sci       Date:  2015-01-09

2.  Relationship between Isometric Muscle Force and Fractal Dimension of Surface Electromyogram.

Authors:  Matteo Beretta-Piccoli; Gennaro Boccia; Tessa Ponti; Ron Clijsen; Marco Barbero; Corrado Cescon
Journal:  Biomed Res Int       Date:  2018-03-15       Impact factor: 3.411

3.  Investigation of innervation zone shift with continuous dynamic muscle contraction.

Authors:  Ken Nishihara; Hisashi Kawai; Yu Chiba; Naohiko Kanemura; Toshiaki Gomi
Journal:  Comput Math Methods Med       Date:  2013-06-03       Impact factor: 2.238

4.  Re-evaluation of EMG-torque relation in chronic stroke using linear electrode array EMG recordings.

Authors:  Minal Bhadane; Jie Liu; W Zev Rymer; Ping Zhou; Sheng Li
Journal:  Sci Rep       Date:  2016-06-28       Impact factor: 4.379

  4 in total

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