A fully-automated paper ECG digitisation algorithm using deep learning

There is increasing focus on applying deep learning methods to electrocardiograms (ECGs), with recent studies showing that neural networks (NNs) can predict future heart failure or atrial fibrillation from the ECG alone. However, large numbers of ECGs are needed to train NNs, and many ECGs are curre...

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Detalles Bibliográficos
Autores principales: Wu, Huiyi, Patel, Kiran Haresh Kumar, Li, Xinyang, Zhang, Bowen, Galazis, Christoforos, Bajaj, Nikesh, Sau, Arunashis, Shi, Xili, Sun, Lin, Tao, Yanda, Al-Qaysi, Harith, Tarusan, Lawrence, Yasmin, Najira, Grewal, Natasha, Kapoor, Gaurika, Waks, Jonathan W., Kramer, Daniel B., Peters, Nicholas S., Ng, Fu Siong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9722713/
https://www.ncbi.nlm.nih.gov/pubmed/36471089
http://dx.doi.org/10.1038/s41598-022-25284-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9722713/
https://www.ncbi.nlm.nih.gov/pubmed/36471089
http://dx.doi.org/10.1038/s41598-022-25284-1

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