End-to-End Premature Ventricular Contraction Detection Using Deep Neural Networks

In Holter monitoring, the precise detection of standard heartbeats and ventricular premature contractions (PVCs) is paramount for accurate cardiac rhythm assessment. This study introduces a novel application of the 1D U-Net neural network architecture with the aim of enhancing PVC detection in Holte...

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Detalles Bibliográficos
Autores principales: Kraft, Dimitri, Bieber, Gerald, Jokisch, Peter, Rumm, Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10610630/
https://www.ncbi.nlm.nih.gov/pubmed/37896666
http://dx.doi.org/10.3390/s23208573

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10610630/
https://www.ncbi.nlm.nih.gov/pubmed/37896666
http://dx.doi.org/10.3390/s23208573

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