Deep Learning-Based Electrocardiogram Signal Noise Detection and Screening Model

OBJECTIVES: Biosignal data captured by patient monitoring systems could provide key evidence for detecting or predicting critical clinical events; however, noise in these data hinders their use. Because deep learning algorithms can extract features without human annotation, this study hypothesized t...

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Detalles Bibliográficos
Autores principales: Yoon, Dukyong, Lim, Hong Seok, Jung, Kyoungwon, Kim, Tae Young, Lee, Sukhoon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Society of Medical Informatics 2019
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6689506/
https://www.ncbi.nlm.nih.gov/pubmed/31406612
http://dx.doi.org/10.4258/hir.2019.25.3.201

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6689506/
https://www.ncbi.nlm.nih.gov/pubmed/31406612
http://dx.doi.org/10.4258/hir.2019.25.3.201

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