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Montreal Archive of Sleep Studies
- opendatalab.com
zipUpdated Mar 12, 2023
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EmailClick to copy linkLink copiedCiteMontreal Sacred Heart Hospital (2023). Montreal Archive of Sleep Studies [Dataset]. https://opendatalab.com/OpenDataLab/Montreal_Archive_of_Sleep_etczipAvailable download formatsDataset updatedMar 12, 2023Dataset provided byMontreal Sacred Heart HospitalArea covered蒙特利尔DescriptionThe 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.
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SS2 Sleep Annotations
- borealisdata.ca
- dataone.org
Updated Jan 13, 2022ShareFacebookTwitterEmailClick to copy linkLink copiedCiteCEAMS (2022). SS2 Sleep Annotations [Dataset]. http://doi.org/10.5683/SP3/Y889CSCroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.Unique identifierhttps://doi.org/10.5683/SP3/Y889CSDataset updatedJan 13, 2022Dataset provided byBorealisAuthorsCEAMSLicensehttps://borealisdata.ca/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=doi:10.5683/SP3/Y889CShttps://borealisdata.ca/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=doi:10.5683/SP3/Y889CS
DescriptionThe SS2 subset of the Montreal Archive of Sleep Studies (MASS) cohort includes: 19 subjects (age 23.6±3.7 years, age range: 18-33 years) 8 males (age 24.3±4.2 years, age range: 19-33 years) 11 females (age 23.2±3.5 years, age range: 18-30 years) The SS2 subset includes sleep events annotations marked by experts such as sleep spindles and k-complexes. Expert 1 scored the sleep spindles and k-complexes for all the subjects.Expert 2 scored the sleep spindle for 15 out of 19 subjects. The subsets includes 53 annotations files "*.edf": Sleep spindles marked by expert 1 (19 files "* Spindles_E1.edf") Sleep spindles marked by expert 2 (15 files "* Spindles_E2.edf") K-Complexes marked by expert 1 (19 files "* KComplexes_E1.edf") The subset includes 19 sleep stages files "* Base.edf". The sleep stages are the same as those included in the dataset named "SS2 Biosignals and Sleep stages" Sleep stage scoring : Rules : R&K Page size (s) : 20
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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.