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

Artificial Intelligence (1220) Novel Sensors and Data Acquisition Methods in Cardiology (191) Machine Learning (1403) Clinical Information and Decision Making (1342) Wearable Devices and Sensors (825)

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
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