Systematic Review of Diagnostic Modalities for Sleep Apnea: A Comprehensive Analysis
Author:
Affiliation:
1. Velagapudi Ramakrishna Siddhartha Engineering College,ECE Department,Vijayawada,INDIA
2. SRMIST, Ramapuram,ECE Department,Chennai,INDIA
3. Aditya Engineering College,ECE Department,Surampalem,INDIA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10169129/10169119/10169656.pdf?arnumber=10169656
Reference15 articles.
1. A Systematic Review on Deep Learning Models for Sleep Stage Classification
2. Deep-Learning based Sleep Apnea Detection using SpO2 and Pulse Rate
3. A Review on Analysis of Cardiac Arrhythmia from Heart Beat Classification;yesudasu;2023 Second International Conference on Electronics and Renewable Systems (ICEARS),2023
4. Machine Learning Algorithms based Detection and Analysis of Stress - A Review;jyothirmy;2023 Second International Conference on Electronics and Renewable Systems (ICEARS),2023
5. Sleep Apnea Detection From Variational Mode Decomposed EEG Signal Using a Hybrid CNN-BiLSTM
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1. Sleep Stage Classification Based on Uniform Manifold Approximation and Recursive Feature Elimination Using EEG Signals;2024 2nd International Conference on Sustainable Computing and Smart Systems (ICSCSS);2024-07-10
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