Detection and Classification of Cardiac Arrhythmias by a Challenge-Best Deep Learning Neural Network Model

Electrocardiograms (ECGs) are widely used to clinically detect cardiac arrhythmias (CAs). They are also being used to develop computer-assisted methods for heart disease diagnosis. We have developed a convolution neural network model to detect and classify CAs, using a large 12-lead ECG dataset (6,8...

Descripción completa

Detalles Bibliográficos
Autores principales: Chen, Tsai-Min, Huang, Chih-Han, Shih, Edward S.C., Hu, Yu-Feng, Hwang, Ming-Jing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7031313/
https://www.ncbi.nlm.nih.gov/pubmed/32062420
http://dx.doi.org/10.1016/j.isci.2020.100886

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7031313/
https://www.ncbi.nlm.nih.gov/pubmed/32062420
http://dx.doi.org/10.1016/j.isci.2020.100886

Ejemplares similares