Optimization of sleep apnea detection using SpO2 and ANN
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Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/8125633/8171593/08171609.pdf?arnumber=8171609
Cited by 19 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. GRU-TSMixers: Sleep Apnea and Hypopnea Detection Based on Multi Scale MLP-Mixers;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30
2. Deep and Shallow Learning Model-Based Sleep Apnea Diagnosis Systems: A Comprehensive Study;IEEE Access;2024
3. An Artificial Intelligence-Based Approach for Automated Classification of Obstructive Sleep Apnea by Considering Multi-modal Feature Fusion Technique;Sleep and Vigilance;2023-11-08
4. ZleepNet: A Deep Convolutional Neural Network Model for Predicting Sleep Apnea Using SpO2 Signal;Applied Computational Intelligence and Soft Computing;2023-09-19
5. Mitigating the class imbalance effect in Sleep Apnea Classification;2023 International Conference on Recent Advances in Electrical, Electronics & Digital Healthcare Technologies (REEDCON);2023-05-01
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