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Zhao et al., 2022 - Google Patents

Ecgnn: Enhancing abnormal recognition in 12-lead ecg with graph neural network

Zhao et al., 2022

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Document ID
17946659486504257670
Author
Zhao X
Liu Z
Han L
Peng S
Publication year
Publication venue
2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

External Links

Snippet

The 12-lead Electrocardiography (ECG) is one of the most commonly used diagnostic tools for cardiovascular disease. Widely available ECG databases and deep learning algorithms present an opportunity to substantially improve the accuracy and scalability of automated …
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Classifications

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    • A61B5/04—Detecting, measuring or recording bioelectric signals of the body of parts thereof
    • A61B5/0402—Electrocardiography, i.e. ECG
    • A61B5/0452—Detecting specific parameters of the electrocardiograph cycle
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