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Published July 12, 2024 | Version v1.0.0
Software Open

ECG-Image-Kit: A Toolkit for Synthesis, Analysis, and Digitization of Electrocardiogram Images

  • 1. ROR icon Emory University
  • 2. ROR icon Georgia Institute of Technology

Description

The version used for generating synthetic ECG images for model training and data augmentation in The George B. Moody PhysioNet Challenge 2024 on Digitization and Classification of ECG Images.

Please cite the following to refer to this work:

  1. Kshama Kodthalu Shivashankara, Deepanshi, Afagh Mehri Shervedani, Matthew A. Reyna, Gari D. Clifford, Reza Sameni (2024). ECG-Image-Kit: a synthetic image generation toolbox to facilitate deep learning-based electrocardiogram digitization. Physiological Measurement. IOP Publishing. Vol 45, 055019, doi: 10.1088/1361-6579/ad4954
  2. Deepanshi, Kshama Kodthalu Shivashankara, Gari D. Clifford, Matthew A. Reyna, Reza Sameni. (2024). ECG-Image-Kit: A Toolkit for Synthesis, Analysis, and Digitization of Electrocardiogram Images (v1.0.0). Zenodo. doi: 10.5281/zenodo.12731152

Note: Follow the latest updates from here: https://github.com/alphanumericslab/ecg-image-kit

Files

alphanumericslab/ecg-image-kit-v1.0.0.zip

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Additional details

Related works

Is published in
Publication: 10.1088/1361-6579/ad4954 (DOI)
Is supplement to
Software: https://github.com/alphanumericslab/ecg-image-kit/tree/v1.0.0 (URL)