Deep Convolutional Recurrent Model for Automatic Scoring Sleep Stages Based on Single-Lead ECG Signal

Background: Sleep stage scoring, which is an essential step in the quantitative analysis of sleep monitoring, relies on human experts and is therefore subjective and time-consuming; thus, an easy and accurate method is needed for the automatic scoring of sleep stages. Methods: In this study, we cons...

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Detalles Bibliográficos
Autores principales: Urtnasan, Erdenebayar, Park, Jong-Uk, Joo, Eun Yeon, Lee, Kyoung-Joung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9140070/
https://www.ncbi.nlm.nih.gov/pubmed/35626390
http://dx.doi.org/10.3390/diagnostics12051235

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9140070/
https://www.ncbi.nlm.nih.gov/pubmed/35626390
http://dx.doi.org/10.3390/diagnostics12051235

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