{
  "Name": "PhysioNet 2018 Challenge: Sleep Arousal Detection PSG (Training)",
  "BIDSVersion": "1.9.0",
  "HEDVersion": "8.2.0",
  "DatasetType": "raw",
  "License": "Open Data Commons Attribution License v1.0",
  "Authors": [
    "Mohammad M. Ghassemi",
    "Benjamin E. Moody",
    "Li-wei H. Lehman",
    "Christopher Song",
    "Qiao Li",
    "Haoqi Sun",
    "Roger G. Mark",
    "M. Brandon Westover",
    "Gari D. Clifford"
  ],
  "HowToAcknowledge": "Please cite: Ghassemi, M.M., Moody, B.E., Lehman, L.H., Song, C., Li, Q., Sun, H., Mark, R.G., Westover, M.B. & Clifford, G.D. (2018). You Snooze, You Win: the PhysioNet/Computing in Cardiology Challenge 2018. Computing in Cardiology, 45, 1-4. And: Goldberger, A. et al. (2000). PhysioBank, PhysioToolkit, PhysioNet. Circulation, 101(23), e215-e220.",
  "Funding": [
    "National Institute of Biomedical Imaging and Bioengineering (NIBIB) U24EB037545",
    "National Institute of Biomedical Imaging and Bioengineering (NIBIB) R01EB030362",
    "The MathWorks (equipment sponsorship)"
  ],
  "ReferencesAndLinks": [
    "https://physionet.org/content/challenge-2018/1.0.0/",
    "https://doi.org/10.22489/CinC.2018.049",
    "https://doi.org/10.13026/6phb-r450"
  ],
  "DatasetDOI": "10.82901/nemar.nm000225",
  "GeneratedBy": [
    {
      "Name": "convert_sleep_challenge_2018.py (EEGDash)",
      "Description": "Converted from WFDB (.mat/.hea) + arousal annotations to BIDS-EEG.",
      "CodeURL": "https://github.com/bruaristimunha/EEGDash"
    }
  ],
  "SourceDatasets": [
    {
      "URL": "https://physionet.org/content/challenge-2018/1.0.0/"
    },
    {
      "DOI": "doi:10.13026/6phb-r450"
    }
  ],
  "Version": "1.1.0"
}