Automated Detection of Sleep Apnea-Hypopnea Events Based on 60 GHz Frequency-Modulated Continuous-Wave Radar Using Convolutional Recurrent Neural Networks: A Preliminary Report of a Prospective Cohort Study

Jae-Won Choi, Dong-hyun Kim, Dae Lim Koo, Yangmi Park, Hyunwoo Nam, Ji-Hyun Lee, Hyo-Jin Kim, Seung-No Hong, Gwangsoo Jang, Sungmook Lim, Baekhyun Kim. Automated Detection of Sleep Apnea-Hypopnea Events Based on 60 GHz Frequency-Modulated Continuous-Wave Radar Using Convolutional Recurrent Neural Networks: A Preliminary Report of a Prospective Cohort Study. Sensors, 22(19):7177, 2022. [doi]

@article{ChoiKKPNLKHJLK22,
  title = {Automated Detection of Sleep Apnea-Hypopnea Events Based on 60 GHz Frequency-Modulated Continuous-Wave Radar Using Convolutional Recurrent Neural Networks: A Preliminary Report of a Prospective Cohort Study},
  author = {Jae-Won Choi and Dong-hyun Kim and Dae Lim Koo and Yangmi Park and Hyunwoo Nam and Ji-Hyun Lee and Hyo-Jin Kim and Seung-No Hong and Gwangsoo Jang and Sungmook Lim and Baekhyun Kim},
  year = {2022},
  doi = {10.3390/s22197177},
  url = {https://doi.org/10.3390/s22197177},
  researchr = {https://researchr.org/publication/ChoiKKPNLKHJLK22},
  cites = {0},
  citedby = {0},
  journal = {Sensors},
  volume = {22},
  number = {19},
  pages = {7177},
}