An Automatic Premature Ventricular Contraction Recognition System Based on Imbalanced Dataset and Pre-Trained Residual Network Using Transfer Learning on ECG Signal

The development of automatic monitoring and diagnosis systems for cardiac patients over the internet has been facilitated by recent advancements in wearable sensor devices from electrocardiographs (ECGs), which need the use of patient-specific approaches. Premature ventricular contraction (PVC) is a...

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Detalles Bibliográficos
Autores principales: Ullah, Hadaate, Heyat, Md Belal Bin, Akhtar, Faijan, Muaad, Abdullah Y., Ukwuoma, Chiagoziem C., Bilal, Muhammad, Miraz, Mahdi H., Bhuiyan, Mohammad Arif Sobhan, Wu, Kaishun, Damaševičius, Robertas, Pan, Taisong, Gao, Min, Lin, Yuan, Lai, Dakun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9818233/
https://www.ncbi.nlm.nih.gov/pubmed/36611379
http://dx.doi.org/10.3390/diagnostics13010087

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9818233/
https://www.ncbi.nlm.nih.gov/pubmed/36611379
http://dx.doi.org/10.3390/diagnostics13010087

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