Delineation of the electrocardiogram with a mixed-quality-annotations dataset using convolutional neural networks

Detection and delineation are key steps for retrieving and structuring information of the electrocardiogram (ECG), being thus crucial for numerous tasks in clinical practice. Digital signal processing (DSP) algorithms are often considered state-of-the-art for this purpose but require laborious rule...

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Detalles Bibliográficos
Autores principales: Jimenez-Perez, Guillermo, Alcaine, Alejandro, Camara, Oscar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7806759/
https://www.ncbi.nlm.nih.gov/pubmed/33441632
http://dx.doi.org/10.1038/s41598-020-79512-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7806759/
https://www.ncbi.nlm.nih.gov/pubmed/33441632
http://dx.doi.org/10.1038/s41598-020-79512-7

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