Hybrid RNN-based classification of Obstructive Sleep Apnea using single-lead ECG Signals-Reference-Cited by-同舟云学术

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Hybrid RNN-based classification of Obstructive Sleep Apnea using single-lead ECG Signals

Published:2023-05-01 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Recent Advances in Electrical, Electronics & Digital Healthcare Technologies (REEDCON)
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Author:

Hemrajani Prashant¹,Dhaka Vijaypal Singh¹,Rani Geeta¹

Affiliation:

1. Manipal University Jaipur Computer and Communication Engineering

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10150432/10150438/10151178.pdf?arnumber=10151178

Reference27 articles.

1. Detection of Sleep Apnea from Single-Lead ECG Signal Using a Time Window Artificial Neural Network

2. A NOVEL APPROACH OSA DETECTION USING SINGLE-LEAD ECG SCALOGRAM BASED ON DEEP NEURAL NETWORK

3. Objective Relationship Between Sleep Apnea and Frequency of Snoring Assessed by Machine Learning

4. Detection of sleep apnea using deep neural networks and single-lead ECG signals

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A deep learning framework optimised by Harris Hawks algorithm for intelligent ECG classification in WSN-IoT environment;Journal of Intelligent & Fuzzy Systems;2023-11-04

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