A Dual-Scale Convolutional Neural Network for Sleep Apnea Detection with Time-Delayed SpO<sub>2</sub> Signals-Reference-Cited by-同舟云学术

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A Dual-Scale Convolutional Neural Network for Sleep Apnea Detection with Time-Delayed SpO₂ Signals

Published:2023-07-24 Issue: Volume: Page:
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Container-title:2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
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Author:

Zou Ruifeng¹,Yue Huijun²,Lei Wenbin²,Fan Xiaomao³,Ma Wenjun¹,Li Pan¹,Li Ye⁴

Affiliation:

1. South China Normal University,School of Computer Science,China

2. Sun Yat-sen University,Otorhinolaryngology Hospital, The First Affiliated Hospital,Guangzhou,China

3. Shenzhen Technology University,College of Big Data and Internet,Shenzhen,China

4. Chinese Academy of Sciences,Shenzhen Institute of Advanced Technology,Shenzhen,China

Funder

National Science Foundation

Research and Development

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10339936/10339939/10340999.pdf?arnumber=10340999

Reference17 articles.

1. Estimation of the global prevalence and burden of obstructive sleep apnoea: a literature-based analysis

2. Pulse oximetry SpO ₂ signal for automated identification of sleep apnea: a review and future trends

3. A novel through-wall respiration detection algorithm using UWB radar

4. Automated Sleep apnea detection using optimal duration-frequency concentrated wavelet-based features of pulse oximetry signals

5. SomnNET: An SpO2 Based Deep Learning Network for Sleep Apnea Detection in Smartwatches

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