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An Efficient Method to Detect Sleep Hypopnea- Apnea Events Based on EEG Signals

  • Published:2021 Issue: Volume:9 Page:641-650
  • ISSN:2169-3536
  • Container-title:IEEE Access
  • language:
  • Short-container-title:IEEE Access

Author:

Wang YaoORCID,Ji SiyuORCID,Yang TianshunORCID,Wang XiaohongORCID,Wang HuiquanORCID,Zhao XiaoyunORCID

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Tianjin Natural Science Foundation

Tianjin Science and Technology Program

Science & Technology Development Fund of Tianjin Education Commission for Higher Education

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Cited by 12 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. Single-channel EEG processing for sleep apnea detection and differentiation;Metrology and Measurement Systems;2023-08-28

2. ESAD: Expert System for Apnea Detection Using Enhanced DWT Feature Extraction and Machine Learning Algorithms;2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT);2023-07-06

3. RAPIDEST: A Framework for Obstructive Sleep Apnea Detection;IEEE Transactions on Neural Systems and Rehabilitation Engineering;2023

4. Sensorimotor Cortical Activity during Respiratory Arousals in Obstructive Sleep Apnea;International Journal of Molecular Sciences;2022-12-20

5. A review of automated sleep disorder detection;Computers in Biology and Medicine;2022-11
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