BNCI 2014-008 P300 dataset (ALS patients)
…M=5, F=3 - **BCI experience**: naive - **Species**: human ## Experimental Protocol - **Paradigm…
- Participants
- 8
- Channels
- 8 (10-10)
- Citations
- 88
- HED
- v8.4.0
- Size
- 241 MB
- Version
- v1.0.2
- Updated
- Aug 18, 2026
100 results for "hybrid BCI" · page 8 of 10 · ranked by relevance
…M=5, F=3 - **BCI experience**: naive - **Species**: human ## Experimental Protocol - **Paradigm…
…female=6, male=10 BCI experience: mostly naive (3/16 had prior…
This dataset contains electroencephalogram (EEG) recordings from 19 healthy participants using a brain-computer music interface designed to enable real-time control of musical tempo through motor imagery. Participants performed kinesthetic motor imagery tasks—imagining squeezing a ball to increase tempo or relaxing to decrease tempo—across nine experimental runs including a calibration phase. The data were collected at 1 kHz sampling rate with 20-second epochs synchronized to music clips, providing a resource for investigating the neural correlates of intentional tempo modulation and music-based brain-computer interface design. This dataset accompanies the publication by Daly et al. (2018). Full methodological details are available in Daly et al. (2014a, 2014b).
…brain-computer interface, BCI, electroencephalogram, EEG, motor imagery, BCI competition, smiley feedback…
…male=9, female=3 - **BCI experience**: mostly naive - **Species**: human ## Experimental Protocol…
…within_subject ## BCI Application - **Applications**: speller - **Environment**: laboratory - **Online feedback**: True ## Tags…
This dataset contains electroencephalogram (EEG), galvanic skin response (GSR), and electrocardiogram (ECG) recordings from 19 healthy adult participants during a calibration session of an affective brain-computer music interface system. Participants listened to 40-second synthetic music clips designed to induce specific affective states defined by valence and arousal dimensions across 5 runs of 18 trials each. The synthetic music was generated in real-time based on target emotional states and could be modified online to induce target emotional states. The dataset includes self-reported affective state ratings and auxiliary variables, serving as calibration data for the brain-computer music interface system. This dataset is part of a three-dataset collection that includes offline training and online real-time control sessions.
…within_subject ## BCI Application - **Applications**: speller - **Environment**: laboratory - **Online feedback**: True ## Tags…
…within_subject ## BCI Application - **Applications**: speller - **Environment**: laboratory - **Online feedback**: True ## Tags…
…right - **BCI experience**: naive - **Species**: human ## Experimental Protocol - **Paradigm**: imagery - **Number of…