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A polysomnographic (PSG) dataset named ISRUC-Sleep that was created aiming to help sleep researchers in their studies. The data were obtained from human adults, including healthy subjects, and subjects with sleep disorders under the effect of sleep medication. The dataset, which is structured to support different research objectives, comprises three groups of data:

  1. data concerning 100 subjects, with one recording session per subject;
  2. data gathered from 8 subjects; two recording sessions were performed per subject, which are useful for studies involving changes in the PSG signals over time;
  3. data collected from one recording session related to 10 healthy subjects, which are useful for studies involving comparison of healthy subjects with the patients suffering from sleep disorders.

The PSG recordings, associated with each subject, were visually scored by two human experts. The PSG recordings include electrophysiological signals, pneumological signals, and another contextual information of the subjects.

The database is described in:

Khalighi Sirvan, Teresa Sousa, José Moutinho Santos, and Urbano Nunes. “ISRUC-Sleep: A comprehensive public dataset for sleep researchers.Computer methods and programs in biomedicine 124 (2016): 180-192.

Please cite the publication when referencing the material.

This dataset has been supported by the Portuguese Foundation for Science and Technology (FCT) under Ph.D. GrantsSFRH/BD/81828/2011 and SFRH/BD/80735/2011 and by QRENfunded project SLEEPTIGHT, with FEDER reference CENTRO-01-0202-FEDER-011530. We would also like to acknowledge sleep experts from the Sleep Medicine Centre of the Hospital of Coimbra University (CHUC), for their invaluable support in data acquisition and visually scoring the PSG recordings of ISRUC-Sleep dataset.