Wrist speed feedback improves elbow compensation and reaching accuracy for myoelectric transradial prosthesis users in hybrid virtual reaching task

Eric J. Earley*, Reva E. Johnson, Jonathon W. Sensinger, Levi J. Hargrove

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

Background: Myoelectric prostheses are a popular choice for restoring motor capability following the loss of a limb, but they do not provide direct feedback to the user about the movements of the device—in other words, kinesthesia. The outcomes of studies providing artificial sensory feedback are often influenced by the availability of incidental feedback. When subjects are blindfolded and disconnected from the prosthesis, artificial sensory feedback consistently improves control; however, when subjects wear a prosthesis and can see the task, benefits often deteriorate or become inconsistent. We theorize that providing artificial sensory feedback about prosthesis speed, which cannot be precisely estimated via vision, will improve the learning and control of a myoelectric prosthesis. Methods: In this study, we test a joint-speed feedback system with six transradial amputee subjects to evaluate how it affects myoelectric control and adaptation behavior during a virtual reaching task. Results: Our results showed that joint-speed feedback lowered reaching errors and compensatory movements during steady-state reaches. However, the same feedback provided no improvement when control was perturbed. Conclusions: These outcomes suggest that the benefit of joint speed feedback may be dependent on the complexity of the myoelectric control and the context of the task.

Original languageEnglish (US)
Article number9
JournalJournal of neuroengineering and rehabilitation
Volume20
Issue number1
DOIs
StatePublished - Dec 2023

Funding

Funding for this research was provided by NSF-NRI 1317379 and NIH Grant T32 HD07418.

Keywords

  • Center-out reaching
  • Compensatory movement
  • Motor adaptation
  • Motor learning
  • Myoelectric prosthesis
  • Sensory feedback

ASJC Scopus subject areas

  • Rehabilitation
  • Health Informatics

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