Diagnosis of Sleep Apnea Hypopnea Syndrome Using Fusion of Micro-motion Signals from Millimeter-wave Radar and Pulse Wave Data
Sleep Apnea Hypopnea Syndrome (SAHS) is a common chronic sleep-related breathing disorder that affects individuals’ sleep quality and physical health. This article presents a sleep apnea and hypopnea detection framework based on multisource signal fusion. Integrating millimeter-wave radar micro-moti...
Saved in:
Main Authors: | Xiang ZHAO, Wei WANG, Chenyang LI, Jian GUAN, Gang LI |
---|---|
Format: | Article |
Language: | English |
Published: |
China Science Publishing & Media Ltd. (CSPM)
2025-02-01
|
Series: | Leida xuebao |
Subjects: | |
Online Access: | https://radars.ac.cn/cn/article/doi/10.12000/JR24107 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Multimodal heterogeneous graph fusion for automated obstructive sleep apnea-hypopnea syndrome diagnosis
by: Haoyu Wang, et al.
Published: (2024-11-01) -
The Role of E-Cadherin in the Assessment of Esophageal Mucosal Damage in Patients with Gastroesophageal Reflux Disease Associated with Obstructive Sleep Apnea/Hypopnea Syndrome
by: Y. Ya. Shaukovich
Published: (2019-06-01) -
Utilizing a Wireless Radar Framework in Combination With Deep Learning Approaches to Evaluate Obstructive Sleep Apnea Severity in Home-Setting Environments
by: Lee KT, et al.
Published: (2025-01-01) -
Air Pollution and Respiratory Permeability in Obstructive Sleep Apnea — A Review
by: Nguyen Thanh Tung, et al.
Published: (2020-11-01) -
Novel Predictor of the AF Development in Patients with OSAS: Importance of Visceral Adipose Index
by: Ugur OZKAN, et al.
Published: (2023-12-01)