A rehabilitation design concept based on brain–computer interface and McKibben artificial muscle
Abstract
This perspective proposes a restrained rehabilitation design that reframes an electroencephalography (EEG)-based brain–computer interface (BCI) from continuous motor control to an intention-gating signal that determines when and how strongly haptic cues should be delivered. A McKibben artificial-muscle haptic navigation module encodes task deviation into a small, semantically consistent directional codebook, enabling intuitive “coach-like” guidance while minimizing visual/verbal dependence. This concept emphasizes safety-biased thresholds, low-intrusion feedback, protocol-level reporting of gating reliability, and cue-dose tapering to promote autonomy and skill transfer under real-world variability and drift.
Fields of Study & Subjects
EEG and Brain-Computer Interfaces
Muscle activation and electromyography studies
Neurological disorders and treatments
Publication details
- Journal / source
- Healthcare and Rehabilitation
- Publisher
- Elsevier BV
- Volume
- 2
- Issue
- 1
- Pages
- 100066–100066
- Publication date
- 1 March 2026
- Language
- EN