Characterization of noise in long-term ECG monitoring with machine learning based on clinical criteria

Noise and artifacts affect strongly the quality of the electrocardiogram (ECG) in long-term ECG monitoring (LTM), making some of its parts impractical for diagnosis. The clinical severity of noise defines a qualitative quality score according to the manner clinicians make the interpretation of the E...

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Detalles Bibliográficos
Autores principales: Holgado-Cuadrado, Roberto, Plaza-Seco, Carmen, Lovisolo, Lisandro, Blanco-Velasco, Manuel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2023
Materias:
Review Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10412684/
https://www.ncbi.nlm.nih.gov/pubmed/37010711
http://dx.doi.org/10.1007/s11517-023-02802-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10412684/
https://www.ncbi.nlm.nih.gov/pubmed/37010711
http://dx.doi.org/10.1007/s11517-023-02802-5

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