Journal
JOURNAL OF ELECTROMYOGRAPHY AND KINESIOLOGY
Volume 22, Issue 1, Pages 80-87Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.jelekin.2011.09.012
Keywords
High-density EMG; Modeling; Neuromuscular; Validation; Innervation zone
Categories
Funding
- European Regional Development Fund
- Academy of Finland [138574]
- Finnish Ministry of Education [40/627/2006]
- Finnish Cultural Foundation
- Foundations' Post Doc Pool
- Academy of Finland (AKA) [138574, 138574] Funding Source: Academy of Finland (AKA)
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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 x 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 (C) 2011 Published by Elsevier Ltd. All rights reserved.
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