Design of MEG-Based Brain-Machine Interface Control Methodology Through Time-Varying Cortical Neural Connectivity & Extreme Learning Machine
This paper proposes a non-invasive BMI methodology using MEG and ELM for robot arm control, achieving fast learning and satisfactory classification for motor-impaired users.
bioRxiv · Dec 5, 2022 · PreprintBioengineering