OSA-CCNN: Obstructive Sleep Apnea Detection Based on a Composite Deep Convolution Neural Network Model using Single-Lead ECG signal

Yu Zhou, Yinxian He, Kyungtae Kang. OSA-CCNN: Obstructive Sleep Apnea Detection Based on a Composite Deep Convolution Neural Network Model using Single-Lead ECG signal. In Donald A. Adjeroh, Qi Long, Xinghua Mindy Shi, Fei Guo, Xiaohua Hu, Srinivas Aluru, Giri Narasimhan, Jianxin Wang, Mingon Kang, Ananda Mondal, Jin Liu, editors, IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2022, Las Vegas, NV, USA, December 6-8, 2022. pages 1840-1845, IEEE, 2022. [doi]

@inproceedings{ZhouHK22,
  title = {OSA-CCNN: Obstructive Sleep Apnea Detection Based on a Composite Deep Convolution Neural Network Model using Single-Lead ECG signal},
  author = {Yu Zhou and Yinxian He and Kyungtae Kang},
  year = {2022},
  doi = {10.1109/BIBM55620.2022.9995675},
  url = {https://doi.org/10.1109/BIBM55620.2022.9995675},
  researchr = {https://researchr.org/publication/ZhouHK22},
  cites = {0},
  citedby = {0},
  pages = {1840-1845},
  booktitle = {IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2022, Las Vegas, NV, USA, December 6-8, 2022},
  editor = {Donald A. Adjeroh and Qi Long and Xinghua Mindy Shi and Fei Guo and Xiaohua Hu and Srinivas Aluru and Giri Narasimhan and Jianxin Wang and Mingon Kang and Ananda Mondal and Jin Liu},
  publisher = {IEEE},
  isbn = {978-1-6654-6819-0},
}