Exploring the impact of myoelectric prosthesis controllers on visuomotor behavior.

ABSTRACT:

Background

Prosthesis users often rely on vision to monitor the activity of their prosthesis, which can be cognitively demanding. This compensatory visual behaviour may be attributed to an absence of feedback from the prosthesis or the unreliability of myoelectric control. Unreliability can arise from the unpredictable control due to variations in electromyography signals that can occur when the arm moves through different limb positions during functional use. More robust position-aware control systems have been explored using deep learning methods, specifically ones that utilize data from different limb positions, that show promising improvements in control characteristics. However, it is unclear how these novel controllers will affect visuomotor behaviour. Specifically, the exten

SUBMITTER: Cheng KY 

PROVIDER: S-EPMC11900612 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature