bdsp-sparcnet.yaml

Name: SPaRCNet data:Seizures, Rhythmic and Periodic Patterns in ICU Electroencephalography
Description: The IIIC dataset includes  50,697 labeled EEG samples from 2,711 patients' and 6,095 EEGs that were annotated by physician experts from 18 institutions. These samples were used to train SPaRCNet (Seizures, Periodic and Rhythmic Continuum patterns Deep Neural Network), a computer program that classifies IIIC events with an accuracy matching clinical experts. 
Documentation: More documentation can be found [here](https://doi.org/10.60508/cw6j-s785)
Contact: admin@bdsp.io
ManagedBy: "[Brain Data Science Platform](https://bdsp.io/)"
UpdateFrequency: New data is added as soon as it is available.
Tags:
  - aws-pds
  - neurophysiology
  - medicine
  - machine learning
  - neuroscience
  - deep learning
  - life sciences
  - bioinformatics
License: BDSP Restricted Health Data License 1.0.0 "[BDSP Licence](https://bdsp.io/content/bdsp-sparcnet/view-license/1.1/); [Data User Agreement:](https://bdsp.io/content/bdsp-sparcnet/view-dua/1.1/)"
Resources:
  - Description: ICU EEG Dataset
    ARN: arn:aws:s3:us-east-1:184438910517:accesspoint/bdsp-sparcnet-access-point
    Region: us-east-1
    Type: S3 Bucket
    ControlledAccess: https://doi.org/10.60508/cw6j-s785
DataAtWork:
  Tools & Applications:
    - Title: IIIC-SPaRCNet Github Repository
      URL: https://github.com/bdsp-core/ICU_EEG_Neuro_Prognosis
      AuthorName: Brain Data Science Platform (BDSP)
      AuthorURL: https://bdsp.io
  Publications:
    - Title: SPaRCNet data:Seizures, Rhythmic and Periodic Patterns in ICU Electroencephalography
      URL: https://doi.org/10.60508/cw6j-s785
      AuthorName: Jing, J., Ge, W., Struck, A. F., Fernandes, M., Hong, S., An, S., et al. 
    - Title: Development of Expert-Level Classification of Seizures and Rhythmic and Periodic Patterns During EEG Interpretation
      URL: https://pubmed.ncbi.nlm.nih.gov/36878708/
      AuthorName: Jing J, Ge W, Hong S, Fernandes MB, Lin Z, Yang C et al., et al.