Detection of sleep apnea using sub-frame based temporal variation of energy in beta band in EEG-Reference-Cited by-同舟云学术

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Detection of sleep apnea using sub-frame based temporal variation of energy in beta band in EEG

Published:2016-12 Issue: Volume: Page:
ISSN:
Container-title:2016 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE)
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Author:

Ahmed Farhin,Paromita Projna,Bhattacharjee Arnab,Saha Suvasish,Azad Samee,Fattah S. A.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8001602/8009066/08009131.pdf?arnumber=8009131

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. Energy-Efficient FPGA Based Sleep Apnea Detection Using EEG Signals;IEEE Access;2024

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

3. Detection of Sleep Apnea and its Intensity in Adults;2023 World Conference on Communication & Computing (WCONF);2023-07-14

4. Machine Learning Based System for Sleep Apnea Classification using EEG Signal;2022 Second International Conference on Computer Science, Engineering and Applications (ICCSEA);2022-09-08

5. Sparse spectrum based swarm decomposition for robust nonstationary signal analysis with application to sleep apnea detection from EEG;Biomedical Signal Processing and Control;2022-08

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