VietDoan99/mimic4-ecg-private

MIMIC-IV-ECG -- Parquet mirror

Unofficial Parquet re-encoding of MIMIC-IV-ECG: Diagnostic Electrocardiogram Matched Subset v1.0, mirrored here from PhysioNet for convenient loading in ML pipelines (one row per 12-lead/500Hz/10s study instead of paired WFDB .hea/.dat files).

This is not an official PhysioNet distribution. No signal processing was applied -- each row holds the original p_signal values per lead as published, just reshaped into columnar Parquet (lead_<name>: list<float32>, one file per source pXXXX folder, zstd-compressed).

Source

• PhysioNet project page: https://physionet.org/content/mimic-iv-ecg/1.0/
• DOI: https://doi.org/10.13026/4nqg-sb35
• License: Open Data Commons Open Database License v1.0 (ODbL 1.0) -- https://opendatacommons.org/licenses/odbl/1-0/

License and attribution

The original MIMIC-IV-ECG dataset is licensed under ODbL 1.0. This repository is a Share-Alike Adaptation under that license (ODbL section 4.4): it remains licensed under ODbL 1.0, and any further use, redistribution, or adaptation of this repository must likewise remain under ODbL 1.0 and retain the attribution below (ODbL section 4.3).

If you use this data, please cite the original dataset and PhysioNet as requested by the authors and by PhysioNet's citation policy:

@article{PhysioNet-mimic-iv-ecg-1.0,
  author = {Gow, Brian and Pollard, Tom and Nathanson, Larry A and
    Johnson, Alistair and Moody, Benjamin and Fernandes, Chrystinne and
    Greenbaum, Nathaniel and Waks, Jonathan W and Eslami, Parastou and
    Carbonati, Tanner and Chaudhari, Ashish and Herbst, Elizabeth and
    Moukheiber, Dana and Berkowitz, Seth and Mark, Roger and Horng, Steven},
  title = {{MIMIC-IV-ECG: Diagnostic Electrocardiogram Matched Subset}},
  journal = {PhysioNet},
  year = {2023},
  month = sep,
  note = {Version 1.0},
  doi = {10.13026/4nqg-sb35},
  url = {https://doi.org/10.13026/4nqg-sb35}
}

@article{PhysioNet2026Platform,
  author = {Pollard, Tom and Moody, Benjamin and Lehman, Li-wei and others},
  title = {PhysioNet as a Global Platform for Biomedical Research},
  journal = {Nature Health},
  year = {2026},
  doi = {10.1038/s44360-026-00096-z}
}

@article{Goldberger2000PhysioBank,
  author = {Goldberger, Ary L and Amaral, Luis A N and Glass, Leon and
    Hausdorff, Jeffrey M and Ivanov, Plamen Ch and Mark, Roger G and
    Mietus, Joseph E and Moody, George B and Peng, Chung-Kang and
    Stanley, H Eugene},
  title = {PhysioBank, PhysioToolkit, and PhysioNet: Components of a New
    Research Resource for Complex Physiologic Signals},
  journal = {Circulation},
  volume = {101},
  number = {23},
  pages = {e215--e220},
  year = {2000},
  url = {http://circ.ahajournals.org/content/101/23/e215.full}
}

Schema

Each row is one study: subject_id, study_id, fs (500.0), sig_len (5000), and one lead_<name>: list<float32> column per of the 12 leads (e.g. lead_I, lead_II, lead_V1, ...).