Bimodal CNN for cardiovascular disease classification by co-training ECG grayscale images and scalograms

This study aimed to develop a bimodal convolutional neural network (CNN) by co-training grayscale images and scalograms of ECG for cardiovascular disease classification. The bimodal CNN model was developed using a 12-lead ECG database collected from Chapman University and Shaoxing People's Hosp...

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Detalles Bibliográficos
Autores principales: Yoon, Taeyoung, Kang, Daesung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9941114/
https://www.ncbi.nlm.nih.gov/pubmed/36804469
http://dx.doi.org/10.1038/s41598-023-30208-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9941114/
https://www.ncbi.nlm.nih.gov/pubmed/36804469
http://dx.doi.org/10.1038/s41598-023-30208-8

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