100 results for "multimodal neuroimaging" · page 10 of 10 · ranked by relevance
Chisco-2.0 is an imagined speech EEG dataset comprising raw EDF recordings from two participants (sub-01 and sub-02). It is intended to support research into decoding imagined speech from electroencephalographic signals, providing a resource for brain-computer interface and speech neuroscience studies.
[. Data were acquired at 256 Hz using 64 channels and analyzed using Riemannian manifold methods and relevance vector machines for brain-computer interface applications. The motor imagery paradigm employed auditory and visual cueing, yielding 5,400 trials suitable for BCI research and benchmarking.
[ from 15 healthy subjects across three sessions. The dataset comprises 60-channel EEG data sampled at 250 Hz with 450 trials per subject (150 trials per session across 3 sessions), designed to evaluate session-to-session transfer learning in brain-computer interface applications. Data were preprocessed with 60 Hz notch filtering and cue-aligned epoching, with the 4-second motor imagery window extracted for analysis.