Search
Clear search
Close search
Main menu
Google apps
3 datasets found
  1. P

    Montreal Archive of Sleep Studies Dataset

    • paperswithcode.com
    • opendatalab.com
    Updated Feb 9, 2014
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Montreal Archive of Sleep Studies Dataset [Dataset]. https://paperswithcode.com/dataset/montreal-archive-of-sleep-studies
    Explore at:
    Dataset updated
    Feb 9, 2014
    Area covered
    Montreal
    Description

    The Montreal Archive of Sleep Studies (MASS) is an open-access and collaborative database of laboratory-based polysomnography (PSG) recordings O’Reilly, C., et al. (2014) J Seep Res, 23(6):628-635. Its goal is to provide a standard and easily accessible source of data for benchmarking the various systems developed to help the automation of sleep analysis. It also provides a readily available source of data for fast validation of experimental results and for exploratory analyses. Finally, it is a shared resource that can be used to foster large-scale collaborations in sleep studies.

    MASS is composed of cohorts themselves comprising subsets. Recordings within subsets is kept as homogeneous as possible, whereas it is more heterogeneous between subsets. To allow inter-study comparisons, researchers validating their results on MASS are encouraged to specify which portion of the database they used in their assessment (e.g., MASS-C1 for the whole cohort 1, MASS-C1/SS1-SS3 for subsets 1, 2 and 3 of cohort 1).

    Currently, the first MASS cohort available is described in O’Reilly, C., et al. (2014) J Seep Res, 23(6):628-635. This cohort comprises polysomnograms of 200 complete nights recorded in 97 men and 103 women of age varying between 18 and 76 years (mean: 38.3 years, SD: 18.9 years). It has been split into five different subsets.

  2. B

    SS3 Sleep Annotations

    • borealisdata.ca
    Updated Jan 13, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CEAMS (2022). SS3 Sleep Annotations [Dataset]. http://doi.org/10.5683/SP3/YD8AYI
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jan 13, 2022
    Dataset provided by
    Borealis
    Authors
    CEAMS
    License

    https://borealisdata.ca/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=doi:10.5683/SP3/YD8AYIhttps://borealisdata.ca/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=doi:10.5683/SP3/YD8AYI

    Description

    The SS3 subset of the Montreal Archive of Sleep Studies (MASS) cohort includes sleep stages scored by an expert and automated muscular artefact detection. The SS3 subset includes: 62 subjects (age 42.5±18.9 years, age range: 20-69 years) 29 males (age 40.4±19.4 years, age range: 20-69 years) 33 females (age 44.2±18.6 years, age range: 20-69 years) Sleep stage scoring : Rules : AASM Page size (s) : 30

  3. B

    SS3 Biosignals and Sleep stages

    • borealisdata.ca
    Updated Jan 14, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CEAMS (2022). SS3 Biosignals and Sleep stages [Dataset]. http://doi.org/10.5683/SP3/9MYUCS
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jan 14, 2022
    Dataset provided by
    Borealis
    Authors
    CEAMS
    License

    https://borealisdata.ca/api/datasets/:persistentId/versions/1.1/customlicense?persistentId=doi:10.5683/SP3/9MYUCShttps://borealisdata.ca/api/datasets/:persistentId/versions/1.1/customlicense?persistentId=doi:10.5683/SP3/9MYUCS

    Description

    The SS3 subset of the Montreal Archive of Sleep Studies (MASS) cohort is an open-access database of laboratory-based polysomnography (PSG) recordings defined as : 62 subjects (age 42.5±18.9 years, age range: 20-69 years) 29 males (age 40.4±19.4 years, age range: 20-69 years) 33 females (age 44.2±18.6 years, age range: 20-69 years) 62 PSG recordings (whole night) "* PSG.edf" 20 electrodes in the EEG montage reference is linked-ear reference with a 10 kΩ resistance (LER) 2 EOG channels 3 referential EMG 1 ECG channel 62 Sleep staging files "* Base.edf" Sleep stage scoring rules : AASM Page size (s) : 30

  4. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Montreal Archive of Sleep Studies Dataset [Dataset]. https://paperswithcode.com/dataset/montreal-archive-of-sleep-studies

Montreal Archive of Sleep Studies Dataset

Explore at:
316 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Feb 9, 2014
Area covered
Montreal
Description

The Montreal Archive of Sleep Studies (MASS) is an open-access and collaborative database of laboratory-based polysomnography (PSG) recordings O’Reilly, C., et al. (2014) J Seep Res, 23(6):628-635. Its goal is to provide a standard and easily accessible source of data for benchmarking the various systems developed to help the automation of sleep analysis. It also provides a readily available source of data for fast validation of experimental results and for exploratory analyses. Finally, it is a shared resource that can be used to foster large-scale collaborations in sleep studies.

MASS is composed of cohorts themselves comprising subsets. Recordings within subsets is kept as homogeneous as possible, whereas it is more heterogeneous between subsets. To allow inter-study comparisons, researchers validating their results on MASS are encouraged to specify which portion of the database they used in their assessment (e.g., MASS-C1 for the whole cohort 1, MASS-C1/SS1-SS3 for subsets 1, 2 and 3 of cohort 1).

Currently, the first MASS cohort available is described in O’Reilly, C., et al. (2014) J Seep Res, 23(6):628-635. This cohort comprises polysomnograms of 200 complete nights recorded in 97 men and 103 women of age varying between 18 and 76 years (mean: 38.3 years, SD: 18.9 years). It has been split into five different subsets.