Achieving Accurate Automatic Sleep Apnea/Hypopnea Syndrome Assessment Using Nasal Pressure Signal-Reference-Cited by-同舟云学术

Achieving Accurate Automatic Sleep Apnea/Hypopnea Syndrome Assessment Using Nasal Pressure Signal

Author:

Lin Ying-Sheng¹,Wu Yi-Pao²,Wu Yi-Chung¹,Lee Pei-Lin³^ORCID,Yang Chia-Hsiang⁴^ORCID

Affiliation:

1. Graduate Institute of Electronics Engineering, National Taiwan University, Taipei, Taiwan

2. Graduate Institute of Communication Engineering, National Taiwan University, Taipei, Taiwan

3. Department of Internal Medicine, National Taiwan University College of Medicine, Taipei, Taiwan

4. Department of Electrical Engineering and Graduate Institute of Electronics Engineering, National Taiwan University, Taipei, Taiwan

Funder

NTU-NTUH-MediaTek Innovative Medical Electronics Research Center

Ministry of Science and Technology, Taiwan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Health Information Management,Electrical and Electronic Engineering,Computer Science Applications,Health Informatics

Link

Reference29 articles.

2. Multi-feature probabilistic detector applied to apnea/hypopnea monitoring;ge;Proc Comput Cardiol,0

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2. IoT-Based Sleep Apnea Monitoring for Timely Detection and Prevention;2023 International Conference on Self Sustainable Artificial Intelligence Systems (ICSSAS);2023-10-18