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ECG Image Digitization

Recover 12-lead ECG voltage time series from images of printed ECG pages. Each record is one 10 second 12-lead acquisition; training records carry nine renderings of the same printed page under different scan and photograph conditions.

Contents

The data tree lives under data/, exactly as the benchmark environment presents it at /app/ecgdig. Its own description is at data/README.md.

  • 7074 files, 12821532396 bytes (11.9 GiB)
  • structure hash (sha256 over sorted path\tsize lines): b476fd2dcfec31e3b18025da79d38d723cb1efd19e4ea99594d8c290b61a665b
  • data.manifest.tsv at the repo root lists every file as sha256 size path

Use

from huggingface_hub import snapshot_download

snapshot_download("Emulated-Inc/ecgdig", repo_type="dataset", revision="REVISION",
                  local_dir="./ecgdig", allow_patterns="data/*")

Pin revision to a commit sha rather than a branch if you need reproducibility.

Provenance and licence

Derived from the PhysioNet Digitization of ECG Images Kaggle competition (https://www.kaggle.com/competitions/physionet-ecg-image-digitization), whose data is released under CC BY 4.0. Attribution is required by that licence; please cite PhysioNet and the competition when using this dataset.

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