Comparative analysis between convolutional neural network learned and engineered features: A case study on cardiac arrhythmia detection

BACKGROUND: Atrial fibrillation (AF) is one of the most common cardiovascular problems, and its asymptomatic tendency makes AF detection challenging. Machine and deep learning methods are commonly used in AF detection. OBJECTIVE: The purpose of this study was to evaluate the information provided by...

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Detalles Bibliográficos
Autores principales: Mahajan, Ruhi, Kamaleswaran, Rishikesan, Akbilgic, Oguz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Full Length Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8890095/
https://www.ncbi.nlm.nih.gov/pubmed/35265872
http://dx.doi.org/10.1016/j.cvdhj.2020.04.001

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8890095/
https://www.ncbi.nlm.nih.gov/pubmed/35265872
http://dx.doi.org/10.1016/j.cvdhj.2020.04.001

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