This paper is in the following e-collection/theme issue:

Artificial Intelligence (1747) Novel Sensors and Data Acquisition Methods in Cardiology (214) Machine Learning (1742) Clinical Information and Decision Making (1661) Wearable Devices and Sensors (999)

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

Authors of this article:

Vu Linh Le1 Author Orcid Image ;   Daewoo Kim1 Author Orcid Image ;   Eunsung Cho1 Author Orcid Image ;   Hyeryung Jang2 Author Orcid Image ;   Roben Delos Reyes1 Author Orcid Image ;   Hyunggug Kim1 Author Orcid Image ;   Dongheon Lee1 Author Orcid Image ;   In-Young Yoon3, 4 Author Orcid Image ;   Joonki Hong1 Author Orcid Image ;   Jeong-Whun Kim4, 5 Author Orcid Image
Article Authors Cited by (12) Tweetations (3) Metrics

Journals

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  9. Pinilla L, Chai‐Coetzer C, Eckert D. Diagnostic Modalities in Sleep Disordered Breathing: Current and Emerging Technology and Its Potential to Transform Diagnostics. Respirology 2025;30(4):286 View
  10. Zhang Z, Wu W, Fu Z, Han Z, Zhang J, Sun C, Ma D, Wang C. Real-Time Sleep Apnea Detection and Prediction From Single-Channel Airflow. IEEE Transactions on Instrumentation and Measurement 2025;74:1 View
  11. Hayano J, Takeshima M, Imanishi A, Ogasawara M, Yamada Y, Yuda E, Mishima K. Detection of sleep apnea using smartphone-embedded inertial measurement unit. Scientific Reports 2025;15(1) View
  12. Shokouhmand S, Bhatt S, Faezipour M. Artificial Intelligence in Respiratory Health: A Review of AI-Driven Analysis of Oral and Nasal Breathing Sounds for Pulmonary Assessment. Electronics 2025;14(10):1994 View