O-WCNN: an optimized integration of spatial and spectral feature map for arrhythmia classification

The regular monitoring and accurate diagnosis of arrhythmia are critically important, leading to a reduction in mortality rate due to cardiovascular diseases (CVD) such as heart stroke or cardiac arrest. This paper proposes a novel convolutional neural network (CNN) model for arrhythmia classificati...

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Detalles Bibliográficos
Autores principales: Jangra, Manisha, Dhull, Sanjeev Kumar, Singh, Krishna Kant, Singh, Akansha, Cheng, Xiaochun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8075024/
https://www.ncbi.nlm.nih.gov/pubmed/34777963
http://dx.doi.org/10.1007/s40747-021-00371-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8075024/
https://www.ncbi.nlm.nih.gov/pubmed/34777963
http://dx.doi.org/10.1007/s40747-021-00371-4

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