A Contactless Breathing Pattern Recognition System Using Deep Learning and WiFi Signal-Reference-Cited by-同舟云学术

A Contactless Breathing Pattern Recognition System Using Deep Learning and WiFi Signal

Published:2024-07-01 Issue:13 Volume:11 Page:23820-23834
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Fan Dou¹^ORCID,Yang Xiaodong²^ORCID,Zhao Nan²^ORCID,Guan Lei²^ORCID,Arslan Malik Muhammad²^ORCID,Ullah Muneeb²,Imran Muhammad Ali³^ORCID,Abbasi Qammer H.³^ORCID

Affiliation:

1. School of Life Science and Technology, Xidian University, Xi’an, Shaanxi, China

2. Key Laboratory of High Speed Circuit Design and EMC of Ministry of Education, School of Electronic Engineering, Xidian University, Xi’an, Shaanxi, China

3. James Watt School of Engineering, University of Glasgow, Glasgow, U.K

Funder

National Natural Science Foundation of China

Key Research and Development Projects of Shaanxi Province

Natural Science Basic Research Program of Shaanxi

Innovation Capability Support Program of Shaanxi

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6488907/10570342/10495332.pdf?arnumber=10495332

Reference56 articles.

1. Respiratory Rate as an Indicator of Acute Respiratory Dysfunction

2. Abnormal breathing patterns in stroke: relationship with location of acute stroke lesion and prior cerebrovascular disease

3. Guidelines on the management of acute respiratory distress syndrome

4. Specific respiratory patterns distinguish among human basic emotions

5. Role of respiration in the cardiovascular response to orthostatic and mental stress

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