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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2021
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Materias: | |
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 |
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