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ZENODO
Software . 2024
License: http://opensource.org/licenses/BSD-3-Clause
Data sources: ZENODO
ZENODO
Software . 2024
License: https://opensource.org/licenses/BSD-3-Clause
Data sources: Datacite
ZENODO
Software . 2024
License: https://opensource.org/licenses/BSD-3-Clause
Data sources: Datacite
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ECG-Image-Kit: A Toolkit for Synthesis, Analysis, and Digitization of Electrocardiogram Images

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 12 Jul 2024Publisher:Zenodo
Authors: Deepanshi; Shivashankara, Kshama Kodthalu; Clifford, Gari D.; Reyna, Matthew A.; Sameni, Reza;
Code repository: https://github.com/alphanumericslab/ecg-image-kit/tree/v1.0.0

doi: 10.5281/zenodo.12731152 , 10.5281/zenodo.12731151

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

Abstract

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: 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 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

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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