23 results for "sleepiness" · page 1 of 3 · ranked by relevance
…also provides information on participants' sleepiness and mood states. （Please note here…
…2.5 s Subjective ratings: - Karolinska Sleepiness Scale (KSS) before each session…
The Bitbrain Open Access Sleep (BOAS) dataset comprises 128 nights of simultaneous polysomnography (PSG) and wearable EEG headband recordings from 108 unique participants, designed to validate wearable EEG technology against clinical PSG for sleep monitoring. The dataset includes human-consensus sleep stage labels derived from expert scoring of PSG recordings, as well as AI-generated sleep stage labels for both PSG and wearable EEG data using a deep learning model. Additional demographic metadata (age, sex, BMI) are provided for each participant, offering a comprehensive resource for sleep staging research and wearable EEG validation.
ISRUC-Sleep is a comprehensive polysomnographic dataset comprising overnight recordings from 118 participants with manual sleep stage annotations. The dataset includes EEG, EOG, EMG, and respiratory signals scored by expert raters into wake and sleep stages (N1, N2, N3, REM) in 30-second epochs following AASM/R&K guidelines. This resource supports research in automatic sleep staging algorithms and sleep-disordered breathing characterization.
…Induced Fatigue Scale (TIFS), Karolinska Sleepiness Scale (KSS), Visual Analog Scale of…
An overnight EEG-fMRI study conducted at the Advanced MRI section of NINDS/NIH, examining sleep physiology through simultaneous electroencephalography and functional magnetic resonance imaging. This pilot study involved multiple subjects who underwent two consecutive nights of approximately 8-hour scanning sessions with randomized arousal stimuli administered 8 times per night. This pilot investigation (sleep1) established protocols later expanded in a larger follow-up study (sleep2).
…Induced Fatigue Scale (TIFS), Karolinska Sleepiness Scale (KSS), Visual Analog Scale of…
This dataset comprises multi-night ear-EEG and polysomnography (PSG) recordings collected between 2018 and 2020 to develop and validate ear-EEG as a home-based sleep monitoring platform. Twenty subjects were recorded across four nights with partial PSG, ear-EEG, and actigraphy, while ten of these subjects continued for an additional twelve nights using only ear-EEG, actigraphy, and a single EOG electrode. Supplementary behavioral data include nightly comfort questionnaires, sleep diaries, and actigraphy recordings, providing a rich resource for studying sleep physiology and wearable EEG signal quality.
…Induced Fatigue Scale (TIFS), Karolinska Sleepiness Scale (KSS), Visual Analog Scale of…
A polysomnographic dataset comprising 1,983 overnight sleep recordings from Massachusetts General Hospital, including 994 training subjects with expert annotations and 989 test subjects. The dataset was created for the PhysioNet/Computing in Cardiology Challenge 2018 and contains 13 channels of physiological signals (EEG, EOG, EMG, respiratory, SpO2, ECG) sampled at 200 Hz, with annotations for sleep stages, respiratory events, and arousal types in the training set.