The BMI-HDEEG dataset 2
…High-density scalp electroencephalogram dataset during sensorimotor rhythm-based brain-computer interfacing…
- Participants
- 30
- Channels
- 129 (egi-geodesic)
- Size
- 29.2 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
100 results for "auditory brain-computer interface" · page 8 of 10 · ranked by relevance
…High-density scalp electroencephalogram dataset during sensorimotor rhythm-based brain-computer interfacing…
The MNE-Sample-Data dataset comprises simultaneous MEG and EEG recordings acquired from a single subject using a Neuromag Vectorview system at the Martinos Center for Biomedical Imaging. The experiment involved visual stimulation (checkerboard patterns presented to left and right visual fields) and auditory stimulation (tones to left and right ears), with occasional face stimuli requiring motor responses. Structural MRI data from a 1.5 T Siemens scanner and Freesurfer-derived anatomical derivatives are included, providing a comprehensive reference dataset for MEG/EEG analysis and method development.
This dataset comprises EEG recordings from healthy adults listening to naturalistic speech segments from an audiobook. Brain activity was recorded using a 128-channel ActiveTwo EEG system while subjects listened to passages from "The Old Man and the Sea," with concurrent phoneme and word-level timing annotations. The unfiltered, unreferenced recordings sampled at 512 Hz provide raw neural responses to continuous speech stimuli for investigating cortical entrainment and speech comprehension mechanisms.
…brain-computer interface, motor imagery, EEG, Riemannian geometry, asynchronous BCI, brain-switch…
…Non-binary m-sequences for more comfortable brain-computer interfaces based on…
…Electroencephalography (EEG), P300, Brain-Computer Interface, Experiment ## Abstract We describe the experimental…
…High-density scalp electroencephalogram dataset during sensorimotor rhythm-based brain-computer interfacing…
…High-density scalp electroencephalogram dataset during sensorimotor rhythm-based brain-computer interfacing…
This dataset comprises 128-channel EEG recordings acquired during speech production tasks involving overt, minimally overt, and covert speech conditions. Participants produced one of five color words with each trial consisting of five repetitions. The dataset includes calibration and online real-time decoding sessions, along with supplementary physiological recordings (EOG, EMG, microphone) and trigger markers, designed to investigate neural contributions to EEG-based speech decoding.
…High-density scalp electroencephalogram dataset during sensorimotor rhythm-based brain-computer interfacing…