A Cascaded Convolutional Neural Network for Assessing Signal Quality of Dynamic ECG

Motion artifacts and myoelectrical noise are common issues complicating the collection and processing of dynamic electrocardiogram (ECG) signals. Recent signal quality studies have utilized a binary classification metric in which ECG samples are determined to either be clean or noisy. However, the c...

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Detalles Bibliográficos
Autores principales: Zhang, Qifei, Fu, Lingjian, Gu, Linyue
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6855083/
https://www.ncbi.nlm.nih.gov/pubmed/31781289
http://dx.doi.org/10.1155/2019/7095137

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6855083/
https://www.ncbi.nlm.nih.gov/pubmed/31781289
http://dx.doi.org/10.1155/2019/7095137

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