Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/44818, first published .
Real-Time Detection of Sleep Apnea Based on Breathing Sounds and Prediction Reinforcement Using Home Noises: Algorithm Development and Validation

Real-Time Detection of Sleep Apnea Based on Breathing Sounds and Prediction Reinforcement Using Home Noises: Algorithm Development and Validation

Real-Time Detection of Sleep Apnea Based on Breathing Sounds and Prediction Reinforcement Using Home Noises: Algorithm Development and Validation

Vu Linh Le   1 * , MA ;   Daewoo Kim   1 * , PhD ;   Eunsung Cho   1 , MA ;   Hyeryung Jang   2 , PhD ;   Roben Delos Reyes   1 , MA ;   Hyunggug Kim   1 , MA ;   Dongheon Lee   1 , MA ;   In-Young Yoon   3, 4 , MD, PhD ;   Joonki Hong   1 , PhD ;   Jeong-Whun Kim   3, 5 , MD, PhD

1 ASLEEP Inc, Seoul, Republic of Korea

2 Department of Artificial Intelligence, Dongguk University, Seoul, Republic of Korea

3 Seoul National University College of Medicine, Seoul, Republic of Korea

4 Department of Psychiatry, Seoul National University Bundang Hospital, Seongnam, Republic of Korea

5 Department of Otorhinolaryngology, Seoul National University Bundang Hospital, Seongnam-si, Republic of Korea

*these authors contributed equally

Corresponding Author:

  • Jeong-Whun Kim, MD, PhD
  • Department of Otorhinolaryngology
  • Seoul National University Bundang Hospital
  • 82, Gumi-ro 173 Beon-gil
  • Bundang-gu, Gyeonggi-do
  • Seongnam-si, 13620
  • Republic of Korea
  • Phone: 82 030797405
  • Email: kimemails7@gmail.com