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Updated: Jun 13, 2025

Collecting Sleep, Circadian, Fatigue, and Performance Data in Complex Operational Environments
Published on: August 8, 2019
A continuous multi-night sleep database for exploring sleep structure similarity
Shaofei Ying1, Junze Fu1, Lin Wang1
1MOE Key Lab for NeuroInformation, School of Life Sciences and Technology, University of Electronic Science and Technology of China, Chengdu, China.
None:
The sleep structure of healthy adults varies across continuous nights but exhibits periodicity and regularity. To explore the similarities and differences in sleep electroencephalogram structures on an intra- and inter-individual basis across nights, we present an open-access, continuous, multi-night sleep database. This database contains multi-modal sleep monitoring data from 20 healthy participants over three consecutive nights. Each recording contains eight channels, including electroencephalogram, electrooculogram, and electromyogram signals, as well as manually labelled sleep staging labels by three experts from the different sleep centres. To the best of our knowledge, this is the first continuous multi-night and multi-expert annotated open-access sleep database from healthy participants. It provides valuable opportunities to investigate the physiological mechanisms of sleep structure continuity, advancing sleep features recognition and prediction algorithms, and designing individualised templates for closed-loop sleep stimulation. This database aims to promote individualisation and precision in sleep research, and provide better protection for human sleep research.
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