Automatic detection of sleep apnea from a single-lead ECG signal based on spiking neural network model-Reference-Cited by-同舟云学术

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Automatic detection of sleep apnea from a single-lead ECG signal based on spiking neural network model

Published:2024-09 Issue: Volume:179 Page:108877
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

Tyagi Praveen Kumar^ORCID,Agrawal Dheeraj

Publisher

Elsevier BV

Reference44 articles.

1. A review of obstructive sleep apnea detection approaches;Mendonca;IEEE J. Biomed. Health Inform,2019

2. A deep learning model developed for sleep apnea detection: a multi-center study;Li;Biomed. Signal Process Control,2023

3. Systematic review of automated sleep apnea detection based on physiological signal data using deep learning algorithm: a meta-analysis approach;Tyagi;Biomed. Eng. Letters,2023

4. Automated scoring of obstructive sleep apnea and hypopnea events using short-term electrocardiogram recordings;Khandoker;IEEE Trans. Inf. Technol. Biomed.,2009

5. Automatic detection and quantification of sleep apnea using heart rate variability;Babaeizadeh;J. Electrocardiol.,2010

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