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ECG-iCOVIDNet: Interpretable AI model to identify changes in the ECG signals of post-COVID subjects
OBJECTIVE: Studies showed that many COVID-19 survivors develop sub-clinical to clinical heart damage, even if subjects did not have underlying heart disease before COVID. Since Electrocardiogram (ECG) is a reliable technique for cardiovascular disease diagnosis, this study analyzes the 12-lead ECG r...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier Ltd.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9055384/ https://www.ncbi.nlm.nih.gov/pubmed/35533456 http://dx.doi.org/10.1016/j.compbiomed.2022.105540 |