Ahus-AIM/Open-ECG-Digitizer-Development-Dataset
Info The dataset was generated using this fork of ECG-Image-Kithttps://github.com/Ahus-AIM/ecg-image-kit and was used to train the segmentation network inhttps://github.com/Ahus-AIM/Open-ECG-Digitizer Download the dataset from datasets import load_dataset ds = load_dataset("Ahus-AIM/Open-ECG-Digitizer-Development-Dataset") Mandatory citation If you use this dataset, please cite @article{stenhede_digitizing_2026, title = {Digitizing Paper… See the full description on the dataset page: https://huggingface.co/datasets/Ahus-AIM/Open-ECG-Digitizer-Development-Dataset.
Info
The dataset was generated using this fork of ECG-Image-Kit\ <https://github.com/Ahus-AIM/ecg-image-kit>
and was used to train the segmentation network in\ <https://github.com/Ahus-AIM/Open-ECG-Digitizer>
Download the dataset
from datasets import load_dataset
ds = load_dataset("Ahus-AIM/Open-ECG-Digitizer-Development-Dataset")Mandatory citation
If you use this dataset, please cite
@article{stenhede_digitizing_2026,
title = {Digitizing Paper {ECGs} at Scale: An Open-Source Algorithm for Clinical Research},
author = {Stenhede, Elias and Bjørnstad, Agnar Martin and Ranjbar, Arian},
journal = {npj Digital Medicine},
year = {2026},
doi = {10.1038/s41746-025-02327-1},
url = {https://doi.org/10.1038/s41746-025-02327-1},
shorttitle = {Digitizing Paper {ECGs} at Scale}
}
@article{Shivashankara2024ECGImageKit,
title = {ECG-image-kit: A synthetic image generation toolbox to facilitate deep learning-based electrocardiogram digitization},
author = {Shivashankara, Kshama Kodthalu and
Deepanshi and
Shervedani, Afagh Mehri and
Reyna, Matthew A. and
Clifford, Gari D. and
Sameni, Reza},
journal = {Physiological Measurement},
year = {2024},
publisher = {IOP Publishing},
doi = {10.1088/1361-6579/ad4954}
}