Choi, J.W.; Kim, D.H.; Koo, D.L.; Park, Y.; Nam, H.; Lee, J.H.; Kim, H.J.; Hong, S.-N.; Jang, G.; Lim, S.;
et al. 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 2022, 22, 7177.
https://doi.org/10.3390/s22197177
AMA Style
Choi JW, Kim DH, Koo DL, Park Y, Nam H, Lee JH, Kim HJ, Hong S-N, Jang G, Lim S,
et al. 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. 2022; 22(19):7177.
https://doi.org/10.3390/s22197177
Chicago/Turabian Style
Choi, Jae Won, Dong Hyun Kim, Dae Lim Koo, Yangmi Park, Hyunwoo Nam, Ji Hyun Lee, Hyo Jin Kim, Seung-No Hong, Gwangsoo Jang, Sungmook Lim,
and et al. 2022. "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, no. 19: 7177.
https://doi.org/10.3390/s22197177
APA Style
Choi, J. W., Kim, D. H., Koo, D. L., Park, Y., Nam, H., Lee, J. H., Kim, H. J., Hong, S. -N., Jang, G., Lim, S., & Kim, B.
(2022). 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.
https://doi.org/10.3390/s22197177