Towards better heartbeat segmentation with deep learning classification

The confidence of medical equipment is intimately related to false alarms. The higher the number of false events occurs, the less truthful is the equipment. In this sense, reducing (or suppressing) false positive alarms is hugely desirable. In this work, we propose a feasible and real-time approach...

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Detalles Bibliográficos
Autores principales: Silva, Pedro, Luz, Eduardo, Silva, Guilherme, Moreira, Gladston, Wanner, Elizabeth, Vidal, Flavio, Menotti, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7692498/
https://www.ncbi.nlm.nih.gov/pubmed/33244078
http://dx.doi.org/10.1038/s41598-020-77745-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7692498/
https://www.ncbi.nlm.nih.gov/pubmed/33244078
http://dx.doi.org/10.1038/s41598-020-77745-0

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