Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/46216, first published .
Prediction of Sleep Stages Via Deep Learning Using Smartphone Audio Recordings in Home Environments: Model Development and Validation

Prediction of Sleep Stages Via Deep Learning Using Smartphone Audio Recordings in Home Environments: Model Development and Validation

Prediction of Sleep Stages Via Deep Learning Using Smartphone Audio Recordings in Home Environments: Model Development and Validation

Hai Hong Tran   1 * , MSc ;   Jung Kyung Hong   1, 2 * , MD ;   Hyeryung Jang   3 , PhD ;   Jinhwan Jung   1 , PhD ;   Jongmok Kim   1 , MSc ;   Joonki Hong   1 , PhD ;   Minji Lee   4 , MD ;   Jeong-Whun Kim   5, 6 , MD, PhD ;   Clete A Kushida   7 , MD, PhD ;   Dongheon Lee   1 , MSc ;   Daewoo Kim   1 , PhD ;   In-Young Yoon   2, 4 , MD, PhD

1 Asleep Inc., Seoul, Republic of Korea

2 Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea

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

4 Department of Psychiatry, Seoul National University Bundang Hospital, Gyeonggi-do, Republic of Korea

5 Department of Otorhinolaryngology, Seoul National University Bundang Hospital, Gyeonggi-do, Republic of Korea

6 Department of Otorhinolaryngology, Seoul National University College of Medicine, Seoul, Republic of Korea

7 Department of Psychiatry and Behavioral Sciences, Stanford University Medical Center, Redwood City, CA, United States

*these authors contributed equally

Corresponding Author:

  • In-Young Yoon, MD, PhD
  • Department of Psychiatry
  • Seoul National University Bundang Hospital
  • 82 Gumi-ro 173beon-gil, Bundang-gu, Seongnam-si
  • Gyeonggi-do, 13620
  • Republic of Korea
  • Phone: 82 31-787-7433
  • Fax: 82 31-787-4058
  • Email: iyoon@snu.ac.kr