MultisensoryDataset
- Participants
- 12
100 results for "multimodal physiological recording" · page 9 of 10 · ranked by relevance
A multi-paradigm EEG dataset comprising scalp electroencephalography recordings from 28 participants performing and imagining upper-limb rehabilitation exercises. This dataset is designed to support research on motor imagery and rehabilitation brain-computer interfaces (BCI) for upper-limb motor function recovery and assessment.
…wireless subdural ECoG, iEEG, Macaca fuscata, BIDS-compliant dataset, longitudinal recordings, task…
…Rest ------------------------------------------------------------------------------- This dataset includes multimodal neuroimaging recordings from five participants performing kinesthetic…
…Concurrent tDCS-EEG -------- Recording EEG during tDCS introduces some problems, most importantly…
[ paradigm. The study investigates two strategies for achieving four-class classification: ASME-4stream (four independent streams with single target stimuli) and ASME-2stream (two streams with dual target stimuli each). EEG data were recorded at 1000 Hz from 64 channels and analyzed using event-related potential methods and linear discriminant analysis classification, achieving accuracies of 83% and 86% respectively.
…https://doi.org/10.1162/IMAG.a.44 Recording --------- EEG was recorded…
…This dataset contains intracranial EEG recordings from one patient during single pulse…