Non-Contact Respiration Rate Measurement From Thermal Images Using Multi-Resolution Window and Phase-Sensitive Processing
Author:
Affiliation:
1. Department of Medical Engineering, Yonsei University College of Medicine, Seoul, Republic of Korea
2. Department of Anesthesiology and Pain Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
Funder
Korea Medical Device Development Fund
Korea government
Industrial Technology Innovation Program
Development of Emotional Cognitive and Sympathetic AI Service Technology for Remote
Ministry of Trade, Industry and Energy
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/10005208/10271367.pdf?arnumber=10271367
Reference45 articles.
1. Analysis of the parameters of respiration patterns extracted from thermal image sequences
2. Infrared imaging based hyperventilation monitoring through respiration rate estimation
3. Neonatal non-contact respiratory monitoring based on real-time infrared thermography
4. DENS-ECG: A deep learning approach for ECG signal delineation
5. Non-contact measurement of human respiration using an infrared thermal camera and the deep learning method
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