Online Obstructive Sleep Apnea Detection on Medical Wearable Sensors

Author:

Surrel GregoireORCID,Aminifar Amir,Rincon Francisco,Murali Srinivasan,Atienza DavidORCID

Funder

Hasler Stiftung

ObeSense

Swiss NSF

Nano-Tera.ch with Swiss Confederation financing

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Biomedical Engineering

Cited by 82 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Advancements in Home-Based Devices for Detecting Obstructive Sleep Apnea: A Comprehensive Study;Sensors;2023-11-30

2. Sleep disorder and apnea events detection framework with high performance using two-tier learning model design;PeerJ Computer Science;2023-09-29

3. An Accurate and Low-power Sleep Apnea Detector in the Edge-IoT Platform;2023 IEEE International Conference on Artificial Intelligence, Blockchain, and Internet of Things (AIBThings);2023-09-16

4. DCDA-Net: Dual-convolutional dual-attention network for obstructive sleep apnea diagnosis from single-lead electrocardiograms;Engineering Applications of Artificial Intelligence;2023-08

5. Lightweight Machine Learning for Seizure Detection on Wearable Devices;ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2023-06-04

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