Accurate Deep Learning-Based Sleep Apnea Detection from Cardiac Physiological Signals
Author:
Affiliation:
1. Politeknik Negeri Jakarta,Department of Computer and Informatics Engineering,Depok,Indonesia
2. Lambung Mangkurat University,Department of Computer Science,Banjarbaru,Indonesia
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10365551/10365595/10365636.pdf?arnumber=10365636
Reference22 articles.
1. Sleep Apnea, Obesity, and Disturbed Glucose Homeostasis: Epidemiologic Evidence, Biologic Insights, and Therapeutic Strategies
2. A Reliable Algorithm Based on Combination of EMG, ECG and EEG Signals for Sleep Apnea Detection : (A Reliable Algorithm for Sleep Apnea Detection)
3. Classification of sleep apnea based on EEG sub-band signal characteristics
4. RAPIDEST: A Framework for Obstructive Sleep Apnea Detection
5. Obstructive Sleep Apnea in Adults
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