Thermal image processing for real-time noncontact respiration rate monitoring

ALKALI, Abdulkadir, SAATCHI, Reza, ELPHICK, Heather and BURKE, Derek (2017). Thermal image processing for real-time noncontact respiration rate monitoring. IET Circuits, Devices and Systems, 11 (2), 142-148.

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Abstract

A real-time thermal imaging based, non-contact respiration rate monitoring method was developed. It measured the respiration related skin surface temperature changes under the tip of the nose. Facial tracking was required as head movements caused the face to appear in different locations in the recorded images over time. The algorithm detected the tip of the nose and then, a region just under it was selected. The pixel values in this region in successive images were processed to determine respiration rate. The segmentation method, used as part of the facial tracking, was evaluated on 55,000 thermal images recorded from 14 subjects with different extent of head movements. It separated the face from image background in all images. However, in 11.7% of the images, a section of the neck was also included, but this did not cause an error in determining respiration rate. The method was further evaluated on 15 adults, against two contact respiration rate monitoring methods that tracked thoracic and abdominal movements. The three methods gave close respiration rates in 12 subjects but in 3 subjects, where there were very large head movements, the respiration rates did not match.

Item Type:	Article
Research Institute, Centre or Group - Does NOT include content added after October 2018:	Materials and Engineering Research Institute > Centre for Automation and Robotics Research > Systems Modelling and Integration Group
Departments - Does NOT include content added after October 2018:	Faculty of Science, Technology and Arts > Department of Engineering and Mathematics
Identification Number:	https://doi.org/10.1049/iet-cds.2016.0143
Page Range:	142-148
Depositing User:	Reza Saatchi
Date Deposited:	22 Nov 2016 17:52
Last Modified:	18 Mar 2021 16:09
URI:	https://shura.shu.ac.uk/id/eprint/14079

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