hyser_bids
…High-Density Surface Electromyogram Recordings BIDS-formatted version of the Hyser Surface…
- Participants
- 20
- Size
- 108 GB
- Version
- v1.0.1
- Updated
- Jul 10, 2026
100 results for "electrode recordings" · page 6 of 10 · ranked by relevance
…High-Density Surface Electromyogram Recordings BIDS-formatted version of the Hyser Surface…
This dataset contains scalp EEG recordings from healthy young adults exposed to one hour of 40 Hz audiovisual flicker stimulation, no-flicker control, or randomized sham flicker, while performing a psychomotor vigilance task. The dataset aims to investigate the neural effects of multisensory gamma-frequency flicker stimulation in humans.
…20090486-2015). - **Electrode Setup**: - EEG: The electrode montage followed the international System…
…The dataset comprises 9 participants with 1,330 electrodes, including grid, depth…
…V - `signal_electrode`: Physical electrode name (E0-E15) - `reference`: bipolar **electrodes.tsv…
This dataset contains scalp EEG recordings from healthy adult participants collected during a one-hour session involving either 40 Hz audiovisual flicker stimulation, no flicker (control), or randomized flicker (sham) conditions. Throughout the recording session, participants performed a psychomotor vigilance task (PVT), enabling investigation of the effects of rhythmic sensory stimulation on vigilance and neural activity.
This dataset contains EEG, electroglottography (EGG), and audio recordings from participants exposed to delayed auditory feedback (DAF) during speech production. The data were collected to investigate the neural and vocal responses to auditory feedback delays, capturing both brain activity and vocal fold vibration patterns synchronized with speech and altered auditory feedback timing.
…g.Sahara - **Electrode type**: dry 8-pins gold-alloy electrodes - **Electrode material…
This dataset comprises EEG recordings from 15 healthy participants performing a visual P300 oddball task during treadmill walking at 1.6 m/s. The study includes simultaneous scalp-EEG (46 channels), ear-EEG (14 channels), electrooculography (4 channels), and inertial measurement unit recordings (6 channels) sampled at 100 Hz. The dataset was collected as part of BCI Competition 2020 Track 5 to evaluate brain-computer interface performance under ambulatory conditions. This is a BIDS-formatted derivative dataset converted from the original data using the MOABB (Mother of All BCI Benchmarks) pipeline.
…V - `signal_electrode`: Physical electrode name (E0-E15) - `reference`: bipolar - `group`: left…