SOURCE RECORD / S0191
EEG-based brain-computer interface enables real-time robotic hand control at individual finger level
EEG-based brain-computer interface enables real-time robotic hand control at individual finger level
- Authors or organization
- Ding Y, Udompanyawit C, Zhang Y, He B
- Published date
- 2025-06-30
- Source type
- peer_reviewed_human_study
- Technology route
- non-invasive 128-channel EEG motor imagery
- Function or setting
- robotic device control
- Rights status
- mirror_allowed / CC BY 4.0
Legacy aliases
—
Related topics
- BCI 最优方案
- 非侵入式 BCI
Evidence summary
Evidence: Real-time non-invasive finger-level robotic control feasibility. Key figures: 80.56% two-finger MI; 60.61% three-finger MI after one online session and same-session fine-tuning. Limitations: Healthy experienced users; two rounds of responder screening; subject-specific and same-day fine-tuning; task uses class decisions rather than independent simultaneous multi-finger trajectories.
Key figures
80.56% two-finger MI; 60.61% three-finger MI after one online session and same-session fine-tuning
Limitations
Healthy experienced users; two rounds of responder screening; subject-specific and same-day fine-tuning; task uses class decisions rather than independent simultaneous multi-finger trajectories
This file is a rights-reviewed, hash-verified mirror. This site is not the original publisher. File type：application/xml；File size：282578 bytes；SHA-256：65dc26261ff50dadaf761a207a9d0621465054942bea7f8b79bb17393cc9edb2；Verified at：2026-07-23T13:00:00+00:00。