In vivo respiration monitoring based on infrared thermal imaging
Received:February 19, 2020  Revised:November 21, 2020  download
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Author NameAffiliationE-mail
LI Chen-Xi State Key Laboratory of Precision Measuring Technology and Instruments Tianjin University Tianjin 300072 China
School of Precision Instrument and Optic Electronic Engineering Tianjin University Tianjin 300072 China 
lichenxi@tju.edu.cn 
SI Fang-Fang School of Precision Instrument and Optic Electronic Engineering Tianjin University Tianjin 300072 China  
LIU Bo-Nan State Key Laboratory of Precision Measuring Technology and Instruments Tianjin University Tianjin 300072 China
School of Precision Instrument and Optic Electronic Engineering Tianjin University Tianjin 300072 China 
 
YAN Bi-Xuan School of Precision Instrument and Optic Electronic Engineering Tianjin University Tianjin 300072 China  
LIU Rong State Key Laboratory of Precision Measuring Technology and Instruments Tianjin University Tianjin 300072 China
School of Precision Instrument and Optic Electronic Engineering Tianjin University Tianjin 300072 China 
 
CHEN Wen-Liang State Key Laboratory of Precision Measuring Technology and Instruments Tianjin University Tianjin 300072 China
School of Precision Instrument and Optic Electronic Engineering Tianjin University Tianjin 300072 China 
chenwenliang@tju.edu.cn 
GAO Feng State Key Laboratory of Precision Measuring Technology and Instruments Tianjin University Tianjin 300072 China
School of Precision Instrument and Optic Electronic Engineering Tianjin University Tianjin 300072 China 
 
Abstract:The body infrared radiation characteristics are related to physiological activities such as respiration. We developed a novel approach to remotely monitor respiration by using the time-series infrared thermography of face. To improve the accuracy and robustness, the algorithm is researched based on Harris corner detection and optical flow field tracking method, which enhance the accuracy of the nostril region tracking. We demonstrate the approach by monitoring the respiratory of human in different environment and evaluating its time-frequency characteristics and statistical parameters. The results show that the approach can reliably monitor the real-time respiration and its pattern. That would be helpful for the clinical application of the infrared thermography on monitoring physiological status.
keywords:thermal imaging  respiratory monitoring  image processing  infrared medicine
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Copyright:《Journal of Infrared And Millimeter Waves》