Ear-EEG Sleep Monitoring 2023 (EESM23)
…Each file consists of a video sequence followed by a sleep sequence…
- Participants
- 10
- Channels
- 8 (10-20)
- Size
- 88.6 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
59 results for "sleep architecture" · page 3 of 6 · ranked by relevance
…Each file consists of a video sequence followed by a sleep sequence…
…10.82901/nemar.on005207) Surrey sleep data set **Overview** This dataset was…
Imported from OpenNeuro ds007262
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).
This dataset comprises EEG recordings from elderly dementia patients during 40Hz auditory entrainment sessions designed to investigate the effects of gamma-band brain stimulation on neural oscillations. Participants underwent either short (6 trials) or long (10 trials) sessions of auditory stimulation while 19-channel EEG was recorded at 250Hz. The study examines whether auditory entrainment enhances default mode network connectivity through non-invasive acoustic brain stimulation.
This dataset contains electroencephalography (EEG) recordings from a repeated awakening study investigating the effects of propofol sedation on dreaming and the utility of complexity measures in capturing consciousness dynamics. Participants underwent multiple sedation-awakening cycles with EEG recordings during wakefulness (eyes open and closed), sedation, and transcranial magnetic stimulation sessions. The study aims to elucidate the relationship between EEG complexity measures and subjective dream experiences during pharmacological sedation.
…Based on the sleep annotations, first we identified the sleep stages. Then…
A resting-state EEG dataset comprising 149 subjects (100 with Parkinson's disease and 49 healthy controls) recorded using a 64-channel BrainVision system. Participants were seated in a quiet environment with eyes open for two minutes of continuous recording. This dataset provides neurophysiological data suitable for investigating oscillatory brain activity and potential biomarkers associated with Parkinson's disease.
…The collected dataset and CNN architecture implementation are shared through open-access…
…Ear-EEG Sleep Monitoring data set This data set was collected as…