Towards Automated Optimization of Residual Convolutional Neural Networks for Electrocardiogram Classification

The interpretation of biological data such as the ElectroCardioGram (ECG) signal gives clinical information and helps to assess the heart function. There are distinct ECG patterns associated with a specific class of arrhythmia. The convolutional neural network, inspired by findings in the study of b...

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Detalles Bibliográficos
Autores principales: Fki, Zeineb, Ammar, Boudour, Ayed, Mounir Ben
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9930020/
https://www.ncbi.nlm.nih.gov/pubmed/36819737
http://dx.doi.org/10.1007/s12559-022-10103-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9930020/
https://www.ncbi.nlm.nih.gov/pubmed/36819737
http://dx.doi.org/10.1007/s12559-022-10103-6

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