Deep residual-dense network based on bidirectional recurrent neural network for atrial fibrillation detection

Atrial fibrillation easily leads to stroke, cerebral infarction and other complications, which will seriously harm the life and health of patients. Traditional deep learning methods have weak anti-interference and generalization ability. Therefore, we propose a new-fashioned deep residual-dense netw...

Descripción completa

Detalles Bibliográficos
Autores principales: Laghari, Asif Ali, Sun, Yanqiu, Alhussein, Musaed, Aurangzeb, Khursheed, Anwar, Muhammad Shahid, Rashid, Mamoon
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/PMC10499947/
https://www.ncbi.nlm.nih.gov/pubmed/37704659
http://dx.doi.org/10.1038/s41598-023-40343-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10499947/
https://www.ncbi.nlm.nih.gov/pubmed/37704659
http://dx.doi.org/10.1038/s41598-023-40343-x

Ejemplares similares