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Enhancing Electrocardiogram Classification with Multiple Datasets and Distant Transfer Learning
Electrocardiogram classification is crucial for various applications such as the medical diagnosis of cardiovascular diseases, the level of heart damage, and stress. One of the typical challenges of electrocardiogram classification problems is the small size of the datasets, which may lead to limita...
Autores principales: | Chui, Kwok Tai, Gupta, Brij B., Zhao, Mingbo, Malibari, Areej, Arya, Varsha, Alhalabi, Wadee, Ruiz, Miguel Torres |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9687650/ https://www.ncbi.nlm.nih.gov/pubmed/36421084 http://dx.doi.org/10.3390/bioengineering9110683 |
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