QRS detection and classification in Holter ECG data in one inference step

While various QRS detection and classification methods were developed in the past, the Holter ECG data acquired during daily activities by wearable devices represent new challenges such as increased noise and artefacts due to patient movements. Here, we present a deep-learning model to detect and cl...

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Detalles Bibliográficos
Autores principales: Ivora, Adam, Viscor, Ivo, Nejedly, Petr, Smisek, Radovan, Koscova, Zuzana, Bulkova, Veronika, Halamek, Josef, Jurak, Pavel, Plesinger, Filip
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9314324/
https://www.ncbi.nlm.nih.gov/pubmed/35879331
http://dx.doi.org/10.1038/s41598-022-16517-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9314324/
https://www.ncbi.nlm.nih.gov/pubmed/35879331
http://dx.doi.org/10.1038/s41598-022-16517-4

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