Towards a Myoelectrically Controlled Virtual Reality Interface for Synergy-Based Stroke Rehabilitation

Denise J. Berger, Andrea D’Avella

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Recent studies endorse the use of robotic and virtual reality (VR) systems for rehabilitation. Myoelectric (EMG) signals have been used for prosthetic control but their application to rehabilitation has been limited so far. Here we present a novel approach using an EMG controlled VR interface to test the synergistic organization of the neural control of arm movements in healthy subjects. EMG control offers the possibility to manipulate visual feedback according to the subject’s muscle activity and to test effects of simulated interventions on the human neuromuscular system that are either compatible or incompatible with the synergies. Such EMG controlled VR interface may open up new possibilities for rehabilitation as it offers the possibility to provide assistance tailored to the individual changes in synergistic organization.

Original languageEnglish
Title of host publicationBiosystems and Biorobotics
PublisherSpringer International Publishing AG
Pages965-969
Number of pages5
Volume15
DOIs
Publication statusPublished - Jan 1 2017

Publication series

NameBiosystems and Biorobotics
Volume15
ISSN (Print)2195-3562
ISSN (Electronic)2195-3570

ASJC Scopus subject areas

  • Artificial Intelligence
  • Biomedical Engineering
  • Mechanical Engineering

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  • Cite this

    Berger, D. J., & D’Avella, A. (2017). Towards a Myoelectrically Controlled Virtual Reality Interface for Synergy-Based Stroke Rehabilitation. In Biosystems and Biorobotics (Vol. 15, pp. 965-969). (Biosystems and Biorobotics; Vol. 15). Springer International Publishing AG. https://doi.org/10.1007/978-3-319-46669-9_156