Consistency of Myoelectric Control Across Multiple Sessions

Daniele Borzelli, Sergio Gurgone, Paolo De Pasquale, Denise J. Berger, Andrea d’Avella

Research output: Chapter in Book/Report/Conference proceedingChapter


A recent research line investigates the motor control adaptation after the perturbation of the muscle pulling directions, simulated with myoelectric control of an isometric reaching task in virtual reality. Such perturbations rely on an estimation of the mapping between the electromyographic (EMG) signal of recorded muscles and the end-point forces. However, the consistency of this mapping across sessions performed in different days is not known. In this study we tested the consistency of the EMG-to-force mapping recorded on multiple sessions in different days. We also tested the consistency of the EMG-to-force mapping after subject posture changes and accidental EMG electrodes detachment. A good consistency was identified when all the EMG recordings are normalized to a unique value, even if incorrect electrode positioning remains one of the major issues for reliable use of myoelectric control.

Original languageEnglish
Title of host publicationBiosystems and Biorobotics
PublisherSpringer International Publishing
Number of pages5
Publication statusPublished - Jan 1 2019
Externally publishedYes

Publication series

NameBiosystems and Biorobotics
ISSN (Print)2195-3562
ISSN (Electronic)2195-3570

ASJC Scopus subject areas

  • Biomedical Engineering
  • Mechanical Engineering
  • Artificial Intelligence


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