Clinically-Applicable High-BPS Motor Imagery Decoding Enabled by High-Density μECoG Brain-Computer Interfaces
Abstract
In this paper, we present a clinically-applicable braincomputer interface (BCI) system using a flexible, highdensity micro-electrocorticography (μECoG) electrode array for high-fidelity signal acquisition. The system enables real-time motor imagery decoding with a high information transfer rate (ITR) and offers advantages in portability, efficiency, and long-term stability. The miniaturized double-layer signal processing unit with a titanium shell exhibits durability and anti-aging performance. Integrated distribution and parallel computing significantly improve real-time capability. In clinical trials, the system allowed participants to play video games and operating assistive devices flexibly.
Fields of Study & Subjects
EEG and Brain-Computer Interfaces
Neuroscience and Neural Engineering
Muscle activation and electromyography studies
Publication details
- Journal / source
- IEEE International Conference on Micro Electro Mechanical Systems (MEMS)
- Pages
- 459–461
- Publication date
- 25 January 2026
- Language
- EN