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ELPHICK, Heather, ALKALI, Abdulkadir, BURKE, Derek and SAATCHI, Reza (2015). Thermal imaging method for measurement of respiratory rate. In: International Congress - Paediatric Respiratory Physiology, Amsterdam, 26-30 September 2015. International Congress 2015 – Paediatric respiratory physiology.
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Thermal imaging method for measurement of respiratory rate.pdf - Accepted Version All rights reserved. Download (167kB) | Preview |
Abstract
Background: Monitoring respiratory rate (RR) is an important task for medical diagnosis that is neglected due to complexities in performing it. Current methods require the sensing device to be attached to the subjects' body thereby constraining or causing them discomfort and thus potentially affecting the breathing rate. We have developed a noncontact method for RR monitoring using a thermal camera.Method: Algorithms to capture images and detect the location of the face in each image were developed. The amount of emitted infrared radiation was then determined and signal processing techniques were then utilised to obtain the respiration rate in real time. A FLIR A40 thermal camera was used in this study. The evaluations were conducted against five existing contact based methods. Results: Tests were conducted on 51 adults (mean age 35.7) and 20 children (mean age 6.4 years). Mean RR (thermal imaging) 14.8 per minute; (chest and abdominal band) 14.8 per minute in adults. The correlation coefficient was 0.88 - 0.998 in adults and 0.578 – 0.999 in children depending on the method used. Figure 1 shows a respiration signal for a child obtained during the evaluation.
| Item Type: | Conference or Workshop Item (Poster) |
|---|---|
| Research Institute, Centre or Group - Does NOT include content added after October 2018: | Materials and Engineering Research Institute > Modelling Research Centre > Microsystems and Machine Vision Laboratory |
| Departments - Does NOT include content added after October 2018: | Faculty of Science, Technology and Arts > Department of Engineering and Mathematics |
| Depositing User: | Reza Saatchi |
| Date Deposited: | 18 Aug 2017 09:14 |
| Last Modified: | 18 Mar 2021 06:03 |
| URI: | https://shura.shu.ac.uk/id/eprint/16515 |
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