Personal Heart Health Monitoring Based on 1D Convolutional Neural Network

The automated detection of suspicious anomalies in electrocardiogram (ECG) recordings allows frequent personal heart health monitoring and can drastically reduce the number of ECGs that need to be manually examined by the cardiologists, excluding those classified as normal, facilitating healthcare d...

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Detalles Bibliográficos
Autores principales: Nannavecchia, Antonella, Girardi, Francesco, Fina, Pio Raffaele, Scalera, Michele, Dimauro, Giovanni
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8321282/
https://www.ncbi.nlm.nih.gov/pubmed/34460625
http://dx.doi.org/10.3390/jimaging7020026

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8321282/
https://www.ncbi.nlm.nih.gov/pubmed/34460625
http://dx.doi.org/10.3390/jimaging7020026

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