MIMIC PERform Datasets
Contributors
- 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 Dataset: Recordings 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 Dataset: Recordings 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 Dataset: Recordings from 200 patients during routine clinical care, who are categorised as either adults (100 subjects) or neonates (100 subjects).
- Matlab format (AF subjects, non-AF subjects)
- WFDB format (AF subjects, non-AF subjects)
- CSV format (AF subjects, non-AF 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
Files
mimic_perform_af_csv.zip
Files
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