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...

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Detalles Bibliográficos
Autores principales: Chui, Kwok Tai, Gupta, Brij B., Zhao, Mingbo, Malibari, Areej, Arya, Varsha, Alhalabi, Wadee, Ruiz, Miguel Torres
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
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

Internet

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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