scholarly journals Non-Contact Spirometry Using a Mobile Thermal Camera and AI Regression

Sensors ◽  
2021 ◽  
Vol 21 (22) ◽  
pp. 7574
Author(s):  
Luay Fraiwan ◽  
Natheer Khasawneh ◽  
Khaldon Lweesy ◽  
Mennatalla Elbalki ◽  
Amna Almarzooqi ◽  
...  
Keyword(s):  
Respiration Rate ◽  
Thermal Imaging ◽  
Mobile Application ◽  
Imaging System ◽  
Gradient Boosting ◽  
Adaptive Boosting ◽  
Area Of Interest ◽  
Video Images ◽  
Thermal Imaging System ◽  
Thermal Video

Non-contact physiological measurements have been under investigation for many years, and among these measurements is non-contact spirometry, which could provide acute and chronic pulmonary disease monitoring and diagnosis. This work presents a feasibility study for non-contact spirometry measurements using a mobile thermal imaging system. Thermal images were acquired from 19 subjects for measuring the respiration rate and the volume of inhaled and exhaled air. A mobile application was built to measure the respiration rate and export the respiration signal to a personal computer. The mobile application acquired thermal video images at a rate of nine frames/second and the OpenCV library was used for localization of the area of interest (nose and mouth). Artificial intelligence regressors were used to predict the inhalation and exhalation air volume. Several regressors were tested and four of them showed excellent performance: random forest, adaptive boosting, gradient boosting, and decision trees. The latter showed the best regression results, with an R-square value of 0.9998 and a mean square error of 0.0023. The results of this study showed that non-contact spirometry based on a thermal imaging system is feasible and provides all the basic measurements that the conventional spirometers support.

THERMAL IMAGING SYSTEM FOR CLIMATE CONTROL OF POTATO STORES

2005 ◽  
Vol 38 (1) ◽  
pp. 115-118 ◽  
Author(s):  
Klaus Gottschalk ◽  
Sabine Geyer ◽  
Hans-Jürgen Hellebrand
Keyword(s):  
Thermal Imaging ◽  
Imaging System ◽  
Climate Control ◽  
Thermal Imaging System

scholarly journals Fabrication of Silicon Window for Low-price Thermal Imaging System

2015 ◽  
Vol 24 (4) ◽  
pp. 264-269
Author(s):  
Byung Mok Sung ◽  
Dong Geon Jung ◽  
Soon Jae Bang ◽  
Sun Min Baek ◽  
Seong Ho Kong
Keyword(s):  
Thermal Imaging ◽  
Imaging System ◽  
Thermal Imaging System

scholarly journals Application of Zernike moments in computer vision problems for infrared images

2021 ◽  
Vol 310 ◽  
pp. 01002
Author(s):  
Dmitriy Otkupman ◽  
Sergey Bezdidko ◽  
Victoria Ostashenkova
Keyword(s):  
Computer Vision ◽  
Machine Vision ◽  
Thermal Imaging ◽  
Imaging System ◽  
Infrared Region ◽  
Zernike Moments ◽  
Infrared Images ◽  
Theoretical Justification ◽  
Thermal Imaging System ◽  
Binarization Method

The efficiency of using Zernike moments when working with digital images obtained in the infrared region of the spectrum is considered to improve the accuracy and speed of an autonomous thermal imaging system. The theoretical justification of the choice of Zernike moments for solving computer (machine) vision problems and the choice of a suitable threshold binarization method is given. In order to verify the adequacy and expediency of using the chosen method, practical studies were conducted on the use of Zernike methods for distorting various thermal images in shades of gray.

Design and implementation of infrared thermal imaging system based on SOPC

2021 ◽  
Vol 36 (6) ◽  
pp. 886-895
Author(s):  
Hai-lin ZHONG ◽  
◽  
Yue-tao YANG ◽  
Xin WANG ◽  
Feng CAO ◽  
...  
Keyword(s):  
Thermal Imaging ◽  
Imaging System ◽  
Infrared Thermal Imaging ◽  
Design And Implementation ◽  
Thermal Imaging System

Thermal Imaging in Medical Science

2018 ◽  
pp. 1109-1132 ◽  
Author(s):  
Nilanjan Dey ◽  
Amira S. Ashour ◽  
Afnan S. Althoupety
Keyword(s):  
Breast Cancer ◽  
Thermal Imaging ◽  
Imaging System ◽  
Medical Science ◽  
Breast Diseases ◽  
Material Surface ◽  
Processing Unit ◽  
Main Concept ◽  
Object Material ◽  
Thermal Imaging System

Thermal imaging is a non-destructive, non-contact and rapid system. It reports temperature through measuring infrared radiation emanated by an object/ material surface. Automated thermal imaging system involves thermal camera equipped with infrared detectors, signal processing unit and image acquisition system supported by computer. It is elaborated in wide domains applications. Extensive focus is directed to the thermal imaging in the medical domain especially breast cancer detection. This chapter provided the main concept and the different applications of thermal imaging. It explores and analyses several works in the light of studding the thermograph. It is an effective screening tool for breast cancer prediction. Studies justify that thermography can be considered a complementary tool to detect breast diseases. The current chapter reviews many usages and limitations of thermography in biomedical field. Extensive recommendations for future directions are summarized to provide a structured vision of breast thermography.

Dual-Bandpass Filter in Infrared Thermal Imaging System for Methane Detection

2018 ◽  
Vol 38 (12) ◽  
pp. 1231001
Author(s):  
付秀华 Fu Xiuhua ◽  
刘文奇 Liu Wenqi ◽  
尹士平 Yin Shiping ◽  
刘克武 Liu Kewu ◽  
刘冬梅 Liu Dongmei
Keyword(s):  
Thermal Imaging ◽  
Bandpass Filter ◽  
Imaging System ◽  
Infrared Thermal Imaging ◽  
Thermal Imaging System ◽  
Methane Detection

scholarly journals Exploring the Maker Culture in Chemistry: Making an Affordable Thermal Imaging System for Reaction Visualization

2020 ◽  
Vol 97 (10) ◽  
pp. 3887-3891
Author(s):  
Ronald Soong ◽  
Amy Jenne ◽  
Rajshree Ghosh Biswas ◽  
Antonio Adamo ◽  
Andre Simpson
Keyword(s):  
Thermal Imaging ◽  
Imaging System ◽  
Maker Culture ◽  
Thermal Imaging System
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