Detection of Obstructive Sleep Apnea Based on ECG System Dynamics, Hybrid Signal Processing and Neural Networks
Author:
Affiliation:
1. School of Physics and Mechanical and Electrical Engineering, Longyan University,Longyan,P. R. China,364012
2. University of Rhode Island,Department of Mechanical, Industrial & Systems Engineering,Kingston,RI,USA,02881
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10239690/10239711/10239954.pdf?arnumber=10239954
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1. The apnea-ECG database
2. Wavelet Transform With Tunable Q-Factor
3. Variational Mode Decomposition
4. Physio Bank, PhysioToolkit, and Physionet: components of a new research resource for complex physiologic signals;goldberger;Circulation,2003
5. Automatic Detection of Obstructive Sleep Apnea Events Using a Deep CNN-LSTM Model
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