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Published August 1, 2022 | Version 0.1
Dataset Open

MIMIC PERform Datasets

  • 1. University of Cambridge
  • 1. University of Cambridge
  • 2. City, University of London
  • 3. University of Surrey
  • 4. Technion Israel Institute of Technology

Description

The MIMIC PERform datasets are a series of datasets extracted from the MIMIC III Waveform Database. Each dataset contains recordings of physiological signals from critically-ill patients during routine clinical care. Specifically, the datasets contain the following signals:

  • electrocardiogram (ECG)
  • photoplethysmogram (PPG)
  • impedance pneumography (imp), also known as respiratory (resp)

Further details of the datasets are provided in the documentation accompanying the ppg-beats project, which is available at: https://ppg-beats.readthedocs.io/en/latest/ . In particular, documentation is provided on the following datasets:

  • MIMIC PERform AF DatasetRecordings from 35 critically-ill adults during routine clinical care, categorised as either AF (atrial fibrillation, 19 subjects) or non-AF (16 subjects).
    • Matlab format (all data, adults, neonates)
    • WFDB format (all data, adults, neonates)
    • CSV format (all data, adults, neonates)
  • MIMIC PERform Training DatasetRecordings from 200 patients during routine clinical care, who are categorised as either adults (100 subjects) or neonates (100 subjects).
    • Matlab format (all data, adults, neonates)
    • WFDB format (all data, adults, neonates)
    • CSV format (all data, adults, neonates)
  • MIMIC PERform Testing DatasetRecordings from 200 patients during routine clinical care, who are categorised as either adults (100 subjects) or neonates (100 subjects).

Each dataset is accompanied by a licence which acknowledges the source(s) of the data - please see the individual licenses for these acknowledgements.

Notes

This work was supported by British Heart Foundation (BHF) grants [FS/20/20/34626] and [PG/15/104/31913], and an EPSRC Impact Acceleration Award.

Files

mimic_perform_af_csv.zip

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