OSA-CCNN: Obstructive Sleep Apnea Detection Based on a Composite Deep Convolution Neural Network Model using Single-Lead ECG signal
Author:
Affiliation:
1. Hanyang University,Major in Bio Artificial Intelligence,Dept. of Computer Science and Engineering,Ansan,Republic of Korea
2. Hanyang University,Dept. of Artificial Intelligence,Ansan,Republic of Korea
Funder
Hanyang University
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9994793/9994847/09995675.pdf?arnumber=9995675
Reference20 articles.
1. Obstructive sleep apnea syndrome
2. The Epidemiology of Adult Obstructive Sleep Apnea
3. Sleep Apnea
4. COMPLICATIONS OF SNORING, UPPER AIRWAY RESISTANCE SYNDROME, AND OBSTRUCTIVE SLEEP APNEA SYNDROME IN ADULTS
5. Association of Sleep-Disordered Breathing, Sleep Apnea, and Hypertension in a Large Community-Based Study
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1. RA-LENet:R-Wave Attention and Local Enhancement for Noise Reduction in ECG Signals;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30
2. Multi-Feature Automatic Extraction for Detecting Obstructive Sleep Apnea Based on Single-Lead Electrocardiography Signals;Sensors;2024-02-09
3. A Deep Learning Framework for Sleep Apnea Detection;Algorithms for Intelligent Systems;2024
4. Wavelet transform and deep learning-based obstructive sleep apnea detection from single-lead ECG signals;Physical and Engineering Sciences in Medicine;2023-11-20
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