EEG-CLNet: Collaborative Learning for Simultaneous Measurement of Sleep Stages and OSA Events Based on Single EEG Signal

Author:

Cheng Liu1ORCID,Luo Shengqiong2ORCID,Yu Xinge3ORCID,Ghayvat Hemant4ORCID,Zhang Haibo5ORCID,Zhang Yuan1ORCID

Affiliation:

1. College of Electronic and Information Engineering, Southwest University, Chongqing, China

2. Pediatric Respirology Department, The Ninth People's Hospital of Chongqing, Chongqing, China

3. Department of Biomedical Engineering, City University of Hong Kong, Kowloon Tong, Hong Kong

4. Department of Computer Science and Media Technology, Linnaeus University, Växjö, Sweden

5. Department of Computer Science, University of Otago, Dunedin, New Zealand

Funder

National Natural Science Foundation of China

Young and Middle-Aged Senior Medical Talents Studio of Chongqing

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Reference34 articles.

1. DeepSleepNet: A Model for Automatic Sleep Stage Scoring Based on Raw Single-Channel EEG

2. Alleviating Class Imbalance Problem in Automatic Sleep Stage Classification

3. PhysioBank, PhysioToolkit, and PhysioNet

4. Attention is all you need;vaswani;Advances in neural information processing systems,2017

5. Adam: A method for stochastic optimization;kingma;Proc 3rd Int Conf Learn Represent (ICLR),2015

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