Designing Visual Feedback to Reshape Muscle Coordination

Joel Mintz*, Dalia De Santis, Fabio Rizzoglio, Ali Farshchiansadegh, Ferdinando A. Mussa-Ivaldi

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapter

2 Scopus citations

Abstract

Dysfunctional muscle activations are observed after stroke and in other neurological disorders. We propose an approach to rehabilitation exercises based on conditioning the availability of visual feedback upon the attainment of an established pattern of muscle activation. As a proof of concept, we tested this approach on unimpaired participants who were asked to perform reaching arm movements while holding a robotic manipulandum. A cursor provided participants with visual feedback of their hand position. The cursor visibility was set in proportion to the RMS EMG activity of the triceps, varying from transparent to maximally visible within a range corresponding to the desired muscle activity level. The great majority of the subjects increased significantly the activity of the triceps as they practiced the reaching task however this returned to baseline at the end of training. We expect that changes can be retained after more intense training if they have functional relevance.

Original languageEnglish (US)
Title of host publicationBiosystems and Biorobotics
PublisherSpringer International Publishing
Pages1034-1038
Number of pages5
DOIs
StatePublished - 2019

Publication series

NameBiosystems and Biorobotics
Volume21
ISSN (Print)2195-3562
ISSN (Electronic)2195-3570

Funding

Research supported by NIDILRR grant H133E120010, and NIH/NICHHD grant 1R01HD072080.

ASJC Scopus subject areas

  • Biomedical Engineering
  • Mechanical Engineering
  • Artificial Intelligence

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