Monitoring Breathing Using a Doppler Radar

Correctional institutions are looking to adopt a non-obtrusive method for monitoring the vital signs of inmates in Canada. Doppler radar has been previously investigated as a potential method of vital signs detection and monitoring. This thesis presents an algorithm which uses the baseband output signal received by a Doppler radar to estimate the breathing rate from the detected motion associated with breathing. A reliability measure is provided with breathing rate estimates through the analysis of various signal quality indices. Results demonstrate that the algorithm is able to estimate the subject’s breathing rate (with high reliability) when the subject is motionless and breathing normally (mean error of 6 breaths per minute). The algorithm cannot accurately estimate the breathing rate when the subject is moving or holding their breath (mean error of 21 breaths per minute). During breath holds, it was found that the algorithm can likely estimate the subject’s heart rate.

Name thesis:degree_name

Master of Applied Science (M.App.Sc.)

Level thesis:degree_level

Master's

Discipline thesis:degree_discipline

Engineering, Biomedical

Grantor dc:publisher

Carleton University

Year dc:date.issued

2016

Author dc:creator

• Tworzydlo, Philip

Statement dc:rights

• Copyright © 2016 the author(s). Theses may be used for non-commercial research, educational, or related academic purposes only. Such uses include personal study, research, scholarship, and teaching. Theses may only be shared by linking to Carleton University Institutional Repository and no part may be used without proper attribution to the author. No part may be used for commercial purposes directly or indirectly via a for-profit platform; no adaptation or derivative works are permitted without consent from the copyright owner.

Language dc:language.iso

en

DOI

10.22215/etd/2016-11230

OAI identifier oai:identifier

oai:carleton.scholaris.ca:20.500.14718/39314