DCDA-Net: Dual-convolutional dual-attention network for obstructive sleep apnea diagnosis from single-lead electrocardiograms

Author:

Ullah NadeemORCID,Mahmood Tahir,Kim Seung Gu,Nam Se Hyun,Sultan Haseeb,Park Kang Ryoung

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference65 articles.

1. A novel technique to diagnose sleep apnea in suspected patients using their ECG data;Ali;IEEE Access,2019

2. Detecting retinal vasculature as a key biomarker for deep learning-based intelligent screening and analysis of diabetic and hypertensive retinopathy;Arsalan;Expert Syst. Appl.,2022

3. Obstructive sleep apnea detection using spectrum and bispectrum analysis of single-lead ECG signal;Atri;Physiol. Meas.,2015

4. Detection of sleep apnea from single-lead ECG: Comparison of deep learning algorithms;Bahrami,2021

5. A sleep apnea detection system based on a one-dimensional deep convolution neural network model using single-lead electrocardiogram;Chang;Sensors,2020

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