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

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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Bibliographic Details
Main Authors: Erdenebayar Urtnasan, Jong-Uk Park, Eun Yeon Joo, Kyoung-Joung Lee
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Diagnostics
Subjects:
electrocardiogram
automatic sleep scoring
deep learning
convolutional neural network
recurrent neural network
deep convolutional recurrent network
Online Access:https://www.mdpi.com/2075-4418/12/5/1235

Internet

https://www.mdpi.com/2075-4418/12/5/1235

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