DRLFormer: A Data Rebalancing Loss-Constrained Light Transformer for OSA Detection
Author:
Affiliation:
1. School of Computer Science and Engineering, Xi’an University of Technology, Xi’an, China
2. Department of Otolaryngology, The Second Affiliated Hospital, Xi’an Jiaotong University, Xi’an, China
Funder
National Natural Science Foundation of China
Key Natural Science Foundation of Shaanxi Province of China
Natural Science Foundation of Shaanxi Province of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx8/19/10367905/10630857.pdf?arnumber=10630857
Reference51 articles.
1. A Clinical Perspective on Sudden Cardiac Death
2. TFFormer: A Time–Frequency Information Fusion-Based CNN-Transformer Model for OSA Detection With Single-Lead ECG
3. Semi-Supervised Learning for Low-Cost Personalized Obstructive Sleep Apnea Detection Using Unsupervised Deep Learning and Single-Lead Electrocardiogram
4. Multiscale Deep Neural Network for Obstructive Sleep Apnea Detection Using RR Interval From Single-Lead ECG Signal
5. Heart rate variability feature selection in the presence of sleep apnea: An expert system for the characterization and detection of the disorder
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