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13259 Behaviour of a surface EMG based measure for motor control: Motor unit action potential rate in relation to force and muscle fatigue
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Kallenberg, L.A.C. and Hermens, H.J. (2008) Behaviour of a surface EMG based measure for motor control: Motor unit action potential rate in relation to force and muscle fatigue. Journal of electromyography and kinesiology, 18 (5). pp. 780-788. ISSN 1050-6411 *** ISI Impact 2,372 ***

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Official URL: http://dx.doi.org/10.1016/j.jelekin.2007.02.011

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Abstract

Surface electromyography parameters such as root-mean-square value (RMS) and median power frequency (FMED) are commonly used to assess the input of the central nervous system (CNS) to a muscle. However, RMS and FMED are influenced not only by CNS input, but also by peripheral muscle properties. The number of motor unit action potentials (MUAPs) per second, or MUAP Rate (MR), being the sum of the firing rates of the active motor units, would reflect CNS input solely. This study explored MR behaviour in relation to force and during a fatiguing contraction in comparison to RMS and FMED.
In the first experiment (n = 10) a step contraction of shoulder elevation force (20–100 N) was performed while multi-channel array EMG was recorded from the upper trapezius muscle. The sensitivity of MR for changes in force (1.8%/N) was almost twice as high as that of RMS (0.97%/N), indicating that MR may be more suitable for monitoring muscle force. The second experiment (n = 6) consisted of a 15-min isometric contraction of the biceps brachii. MR increased considerably less than RMS (0.9% vs. 4.1%), suggesting that MR selectively reflects central motor control whereas RMS also reflects peripheral changes. These results support that, at relatively low force levels, MR is a suitable parameter for non-invasive assessment of the input of the CNS to the muscle.

Item Type:Article
Research Group:EWI-BSS: Biomedical Signals and Systems
Research Program:BMTI-Biomechatronics & Neural Interfacing
Research Project:EMG: Selective assessment of muscle activation through multi-channel ElectroMyoGraphy
ID Code:13259
Status:Published
Deposited On:09 September 2008
Refereed:Yes
International:Yes
ISI Impact Factor:2,372
More Information:statisticsmetis

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