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Amplitude cancellation influences the association between frequency components in the neural drive to muscle and the rectified EMG signal

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  • Jakob Lund Dideriksen
  • Dario Farina

Abstract

The rectified surface EMG signal is commonly used as an estimator of the neural drive to muscles and therefore to infer sources of synaptic input to motor neurons. Loss of EMG amplitude due to the overlap of motor unit action potentials (amplitude cancellation), however, may distort the spectrum of the rectified EMG and thereby its correlation with the neural drive. In this study, we investigated the impact of amplitude cancelation on this correlation using analytical derivations and a computational model of motor neuron activity, force, and the EMG signal. First, we demonstrated analytically that an ideal rectified EMG signal without amplitude cancellation (EMGnc) is superior to the actual rectified EMG signal as estimator of the neural drive to muscle. This observation was confirmed by the simulations, as the average coefficient of determination (r2) between the neural drive in the 1–30 Hz band and EMGnc (0.59±0.08) was matched by the correlation between the rectified EMG and the neural drive only when the level of amplitude cancellation was low ( 60% (contraction levels >15% MVC). Moreover, the simulations showed that a stronger (i.e. more variable) neural drive implied a stronger correlation between the rectified EMG and the neural drive and that amplitude cancellation distorted this correlation mainly for low-frequency components (

Suggested Citation

  • Jakob Lund Dideriksen & Dario Farina, 2019. "Amplitude cancellation influences the association between frequency components in the neural drive to muscle and the rectified EMG signal," PLOS Computational Biology, Public Library of Science, vol. 15(5), pages 1-19, May.
    • Handle: RePEc:plo:pcbi00:1006985
    DOI: 10.1371/journal.pcbi.1006985
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    References listed on IDEAS

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    1. Stephan R Jaiser & Mark R Baker & Stuart N Baker, 2016. "Intermuscular Coherence in Normal Adults: Variability and Changes with Age," PLOS ONE, Public Library of Science, vol. 11(2), pages 1-16, February.
    2. Hwasil Moon & Changki Kim & Minhyuk Kwon & Yen Ting Chen & Tanya Onushko & Neha Lodha & Evangelos A Christou, 2014. "Force Control Is Related to Low-Frequency Oscillations in Force and Surface EMG," PLOS ONE, Public Library of Science, vol. 9(11), pages 1-9, November.
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