Software tools for ECG image processing and digitization
File | Description |
---|---|
ecg_grid_size_from_paper.m | ECG grid size estimate from paper size and image width |
ecg_gridest_margdist.m | ECG grid size estimation - marginal image intensity approach |
ecg_gridest_spectral.m | ECG grid size estimation - spectral approach |
ecg_gridest_matchedfilt.m | ECG grid size estimation - matched filter-based approach |
image_to_sequence.m | Extract time-series from an ECG segment |
tanh_sat.m | Saturate signal/image intensity with a tanh function |
File | Description |
---|---|
test_ecg_grid_size_estimator.m | A test script for running and comparing the grid size estimation methods |
test_ecg_sequence_extraction.m | A test script for time-series extraction from an image segment |
Please include references to the following articles in any publications:
-
Kshama Kodthalu Shivashankara, Afagh Mehri Shervedani, Gari D. Clifford, Matthew A. Reyna, Reza Sameni (2024). A Synthetic Electrocardiogram (ECG) Image Generation Toolbox to Facilitate Deep Learning-Based Scanned ECG Digitization. doi: 10.48550/ARXIV.2307.01946
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ECG-Image-Kit: A Toolkit for Synthesis, Analysis, and Digitization of Electrocardiogram Images, (2024). URL: https://github.com/alphanumericslab/ecg-image-kit
- Kshama Kodthalu Shivashankara, School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, US
- Deepanshi, Department of Biomedical Informatics, Emory University, GA, US
- Matthew A Reyna, Department of Biomedical Informatics, Emory University, GA, US
- Gari D Clifford, Department of Biomedical Informatics, Emory University, GA, US
- Reza Sameni (contact person), Department of Biomedical Informatics, Emory University, GA, US
Please direct any inquiries, bug reports or requests for joining the team to: ecg-image-kit@dbmi.emory.edu.