Multimedia Monitoring System of Obstructive Sleep Apnea via a Deep Active Learning Model
Author:
Affiliation:
1. Southwest Jiaotong University, Chengdu, China
2. University of Otago, Dunedin, New Zealand
3. National Institute of Technology Patna, Patna, India
4. Uppsala University, Uppsala, Sweden
Funder
Key Research and Development Program of Sichuan Province
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Science Applications,Hardware and Architecture,Media Technology,Signal Processing,Software
Link
http://xplorestaging.ieee.org/ielx7/93/9897013/09695291.pdf?arnumber=9695291
Reference16 articles.
1. Automated processing of the single-lead electrocardiogram for the detection of obstructive sleep apnoea
2. Automatic classification of sleep apnea epochs using the electrocardiogram
3. Active Learning by Querying Informative and Representative Examples
4. The apnea-ECG database
5. An algorithm for sleep apnea detection from single-lead ECG using Hermite basis functions
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