SOURCE RECORD / S0199
A Wearable Brain-Computer Interface With Fewer EEG Channels for Online Motor Imagery Detection
A Wearable Brain-Computer Interface With Fewer EEG Channels for Online Motor Imagery Detection
- Authors or organization
- Rao Z, Zhu J, Lu Z, Zhang R, Li K, Guan Z, Li Y
- Published date
- 2024-11-18
- Source type
- peer_reviewed_human_study
- Technology route
- non-invasive 4-channel wireless EEG motor imagery
- Function or setting
- portable online BCI and rehabilitation research
- Rights status
- manual_review / CC BY-NC-ND 4.0 (association not snapshotted)
Evidence summary
Evidence: Four-channel wearable online MI feasibility. Key figures: 46 participants: 85.21% offline and 76.54% online; separate 20-participant comparison: 77.84% headband versus 76.50% Neuroscan. Limitations: Healthy participants; classification accuracy is not rehabilitation benefit or long-term reliability; prototype price, availability, open interface and China TCO not established.
Key figures
46 participants: 85.21% offline and 76.54% online; separate 20-participant comparison: 77.84% headband versus 76.50% Neuroscan
Limitations
Healthy participants; classification accuracy is not rehabilitation benefit or long-term reliability; prototype price, availability, open interface and China TCO not established