Feedback Type May Change the EMG Pattern and Kinematics During Robot Supported Upper Limb Reaching Task

Abstract

Haptic interfaces and virtual reality (VR) technology have been increasingly introduced in rehabilitation, facilitating the provision of various feedback and task conditions. However, correspondence between the feedback/task conditions and movement strategy during reaching tasks remains a question. To investigate movement strategy, we assessed velocity parameters and peak latency of electromyography. Ten neuromuscularly intact volunteers participated in the measurement using haptic interface and VR. Concurrent visual feedback and various terminal feedback (e.g., visual, haptic, visual and haptic) were given. Additionally, the object size for the reaching task was changed. The results demonstrated terminal haptic feedback had a significant impact on kinematic parameters; showed $0.7\,\pm {\,1.4}$ s ($p\,< .05$) shorter movement time and $0.01\,\pm {\,0.08}$ m/s ($p\,< .05$) higher mean velocity compared to no terminal feedback. Also, smaller peak latency was observed in different muscle regions based on the object size.

Keywords

• Movement strategy
• multimodal feedback
• sEMG analysis