A novel deep learning model for obstructive sleep apnea diagnosis: hybrid CNN-Transformer approach for radar-based detection of apnea-hypopnea events.

Jae Won Choi Dae Lim KooDong Hyun KimHyunwoo NamJi Hyun LeeSeung-No HongBaekhyun Kim

Published in: Sleep (2024)

Our study highlights radar sensors and advanced AI models' potential to improve OSA diagnosis, paving the path for future radar-based diagnostic models in sleep medicine research.

Keyphrases

obstructive sleep apnea
positive airway pressure
deep learning
sleep apnea
artificial intelligence
convolutional neural network
physical activity
current status
risk assessment
real time pcr
label free
low cost
human health