Wrist speed feedback improves elbow compensation and reaching accuracy for myoelectric transradial prosthesis users in hybrid virtual reaching task
Journal article, 2023

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.

Motor learning

Motor adaptation

Center-out reaching

Sensory feedback

Compensatory movement

Myoelectric prosthesis

Author

Eric Earley

Shirley Ryan AbilityLab

Chalmers, Electrical Engineering, Systems and control

Northwestern University

Center for Bionics and Pain Research

Reva E. Johnson

University of Valparaíso

Jonathon W. Sensinger

University of New Brunswick

Levi J. Hargrove

Northwestern University

Shirley Ryan AbilityLab

Journal of NeuroEngineering and Rehabilitation

17430003 (eISSN)

Vol. 20 1 9

Subject Categories (SSIF 2011)

Medical Engineering

Health Sciences

DOI

10.1186/s12984-023-01138-3

PubMed

36658605

More information

Latest update

7/10/2026