8-Channel SSVEP EEG Dataset with Artifact Trials
Imported from OpenNeuro ds004745
- Citations
- 26
- Size
- 242 MB
- Updated
- May 23, 2026
100 results for "real-time brain imaging" · page 8 of 10 · ranked by relevance
Imported from OpenNeuro ds004745
…is formatted according to the Brain Imaging Data Structure. See the 'dataset…
…sessions, and "Optimizing learning via real-time neural decoding" (link pending) explores…
BigP3BCI Study R is a P300-based brain-computer interface dataset comprising EEG recordings from 20 ALS subjects performing a 9x8 character grid speller task across two sessions. This derivative dataset is part of the larger BigP3BCI collection, the largest public P300 BCI dataset with ~267 subjects across 20 studies. The data were acquired at 256 Hz using 32-channel EEG with a g.USBamp amplifier and are organized in BIDS format with HED event annotations for standardized analysis and machine learning applications.
Imported from OpenNeuro ds003801
…9°; acquisition time = 7 min). ### Preprocessing All Digital Imaging and Communications in…
…real-time adaptive RMDM classifier (calibration-free procedure) ## BCI Application - **Applications**: gaming…
…the efficacy of synchronous combination of virtual reality and transcutaneous electrical nerve…