MIMIC PERform Datasets
Contributors
- 1. University of Cambridge
- 2. City, University of London
- 3. University of Surrey
- 4. Technion Israel Institute of Technology
Description
Overview
The MIMIC PERform datasets contain physiological signals recorded 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)
- (in some cases) arterial blood pressure (abp)
They also contain some fixed parameters, stored in the 'fix' field.
The datasets were extracted from the MIMIC III Waveform Database. 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/ .
Datasets
The following datasets are available:
- 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 (AF subjects, non-AF subjects)
- WFDB format (AF subjects, non-AF subjects)
- CSV format (AF subjects, non-AF subjects)
- MIMIC PERform Training Dataset: Recordings from 200 patients during routine clinical care, who are categorised as either adults (100 subjects) or neonates (100 subjects).
- MIMIC PERform Testing Dataset: Recordings from 200 patients during routine clinical care, who are categorised as either adults (100 subjects) or neonates (100 subjects).
Dataset Samples
The following dataset samples are available:
- Truncated MIMIC PERform Dataset:
- MIMIC PERform Training Dataset - Data from the first 10 patients in the (5 adults and 5 neonates) in Matlab format.
- MIMIC PERform Testing Dataset - Data from the first 10 patients in the (5 adults and 5 neonates) in Matlab format.
- MIMIC PERform AF Dataset - Data from the first 10 AF and non-AF patients in Matlab format (AF patients, non-AF patients).
- 1-minute sample of adult data: Extracted from a non-AF subject in the MIMIC PERform AF Dataset, available in Matlab format.
- 1-minute sample of neonate data: Extracted from a neonate subject in the MIMIC PERform Training Dataset, available in Matlab format.
- 1-minute sample of AF data: Extracted from an AF subject in the MIMIC PERform AF Dataset, available in Matlab format.
- 1-minute sample of noisy data: Extracted from a non-AF subject in the MIMIC PERform AF Dataset, available in Matlab format.
Citation
When using these datasets, please cite the following publication:
Charlton PH et al. Detecting beats in the photoplethysmogram: benchmarking open-source algorithms. Physiological Measurement 2022. DOI: 10.1088/1361-6579/ac826d
Acknowledgments
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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