NDLI: Analysis of the correlation between infrared thermal sequence images of nostril area and respiratory rate

Content Provider	IET Digital Library
Author	Jian, Bo Lin Huang, Min Wei Lee, Shin Hsiung Yau, Her Terng
Abstract	In this study, a thermal imaging instrument was used to obtain facial thermal image information which was then used to calculate the number of breaths taken. However, small movements were inevitable and the first issue addressed was the means by which image calibration and region selection was to be made. To this end, thermal image sequence data calibration was done using technology that resolved small natural deviations in the nostril area. After these problems had been solved, a Hampel filter was used to process the nostril area signals. The independent component method was used to filter the effects of non-respiratory signals, and the least squares method was employed for smoothing. Savitzky-Golay filtering was used to adjust the signal baseline and the processed nostril region thermal image signals were compared with standard abdominal breathing band signals. Results showed that the difference in the number of breaths per minute was less than 1.5 times. The usual normal respiratory frequency range lies within a range of 0.1–0.5 Hz. In the calculation of ‘coherence obtained from MVAR model’, the spectral coherence analysis results showed the methods proposed in this study can substantially enhance the relevance between 0.15 and 0.2 Hz.
Starting Page	3089
Ending Page	3094
Page Count	6
ISSN	17519659
Volume Number	14
e-ISSN	17519667
Issue Number	Issue 13, Nov (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/14/13
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2019.0416
Journal	IET Image Processing
Publisher Date	2020-06-11
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Biology And Medical Computing Biomedical Imaging/measurement Biomedical Optical Imaging Breathing Rate Computer Vision And Image Processing Technique Facial Thermal Image Information Frequency 0.1 Hz to 0.5 Hz Frequency 0.15 Hz to 0.2 Hz Haemodynamics Hampel Filter Image Filtering Image Sequence Independent Component Analysis Independent Component Method Infrared Imaging Infrared Thermal Sequence Image Least Squares Approximation Least Squares Method Medical Image Processing MVAR Model Nonrespiratory Signal Normal Respiratory Frequency Range Nostril Region Thermal Image Signal Optical And Laser Radiation Optical, Image And Video Signal Processing Patient Diagnostic Method And Instrumentation Pneumodynamics Region Selection Respiratory Rate Respiratory Signal Savitzky-Golay Filtering Signal Baseline Spectral Analysis Spectral Coherence Analysis Standard Abdominal Breathing Band Signal Thermal Image Sequence Data Calibration
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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