Automated Scoring of Respiratory Events in Sleep with a Single Effort Belt and Deep Neural Networks-Reference-Cited by-同舟云学术

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Automated Scoring of Respiratory Events in Sleep with a Single Effort Belt and Deep Neural Networks

Published:2022 Issue: Volume: Page:1-1
ISSN:0018-9294
Container-title:IEEE Transactions on Biomedical Engineering
language:
Short-container-title:IEEE Trans. Biomed. Eng.

Author:

Nassi Thijs-Enagnon,Ganglberger Wolfgang,Sun Haoqi,Bucklin Abigail Anne,Biswal Siddharth,Van Putten Michel,Thomas Robert,Westover Brandon

Funder

Department of Defense through a sub-contract from Moberg ICU Solutions Inc

American Academy of Sleep Medicine

Glenn Foundation for Medical Research

Football Players Health Study

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Biomedical Engineering

Link

http://xplorestaging.ieee.org/ielx7/10/4359967/09656654.pdf?arnumber=9656654

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2. Algorithmic detection of sleep-disordered breathing using respiratory signals: a systematic review;Physiological Measurement;2024-03-01

3. Deep learning of sleep apnea-hypopnea events for accurate classification of obstructive sleep apnea and determination of clinical severity;Sleep Medicine;2024-02

4. Efficient Respiration Rate Estimation Based on MIMO mmWave Radar;Lecture Notes in Computer Science;2024

5. Cloud-based non-invasive cognitive breath monitoring system for patients in health-care system;International Journal of Data Science and Analytics;2023-10-05

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