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

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