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A Novel Measure of Motor Unit Action Potential Variability in Nonstationary Surface Electromyograms

  • Vojko Glaser
  • Aleš HolobarEmail author
Conference paper
Part of the Biosystems & Biorobotics book series (BIOSYSROB, volume 15)

Abstract

We introduce and validate a novel measure of motor unit action potential (MUAP) variability in surface electromyograms (EMG) that are recorded during dynamic muscle contractions. This measure is fully automatic, builds on the motor unit spike trains as estimated by previously introduced Convolution Kernel Compensation method and allows tracking of MUAP variability for each individual motor unit separately. Preliminary tests on synthetic surface EMG signals demonstrate its high accuracy and capability of identifying cyclostationary changes of MUAP shapes. This measure represents the first, but very important step towards motor unit identification in dynamic muscle contractions.

Keywords

Motor Unit Spike Train Motor Unit Action Potential Dynamic Contraction Surface Electromyogram 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.Faculty of Electrical Engineering and Computer ScienceUniversity of MariborMariborSlovenia

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