Castillos et al. 2023, m-sequence c-VEP, 100% amplitude depth: Burst c-VEP Based BCI: Optimizing stimulus design for enhanced classification with minimal calibration data and improved user experience
EEG dataset of a 4-class code-modulated visual evoked potential (c-VEP) reactive brain-computer interface study with 12 healthy participants. This subset contains the m-sequence c-VEP condition at 100% amplitude depth, recorded with a 32-channel BrainProducts LiveAmp system at 500 Hz. The study compared burst and m-sequence codes at two amplitude depths, assessing classification accuracy with minimal calibration data and user experience.
- Participants
- 12
- Channels
- 32 (10-10)
- Citations
- 18
- HED
- v8.4.0
- Size
- 352 MB
- Version
- v1.0.3
- Updated
- Oct 8, 2026