Discovering and Visualizing Disease-Specific Electrocardiogram Features Using Deep Learning: Proof-of-Concept in Phospholamban Gene Mutation Carriers

BACKGROUND: ECG interpretation requires expertise and is mostly based on physician recognition of specific patterns, which may be challenging in rare cardiac diseases. Deep neural networks (DNNs) can discover complex features in ECGs and may facilitate the detection of novel features which possibly...

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Detalles Bibliográficos
Autores principales: van de Leur, Rutger R., Taha, Karim, Bos, Max N., van der Heijden, Jeroen F., Gupta, Deepak, Cramer, Maarten J., Hassink, Rutger J., van der Harst, Pim, Doevendans, Pieter A., Asselbergs, Folkert W., van Es, René
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2021
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7892204/
https://www.ncbi.nlm.nih.gov/pubmed/33401921
http://dx.doi.org/10.1161/CIRCEP.120.009056

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7892204/
https://www.ncbi.nlm.nih.gov/pubmed/33401921
http://dx.doi.org/10.1161/CIRCEP.120.009056

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