Noncontact Detection and Analysis of Respiratory Function Using Microwave Doppler Radar
Real-time respiratory measurement with Doppler Radar has an important advantage in the monitoring of certain conditions such as sleep apnoea, sudden infant death syndrome (SIDS), and many other general clinical uses requiring fast nonwearable and non-contact measurement of the respiratory function....
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Online Access: | http://dx.doi.org/10.1155/2015/548136 |
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doaj-2c22449a0826483989abde58383160b32020-11-25T00:25:08ZengHindawi LimitedJournal of Sensors1687-725X1687-72682015-01-01201510.1155/2015/548136548136Noncontact Detection and Analysis of Respiratory Function Using Microwave Doppler RadarYee Siong Lee0Pubudu N. Pathirana1Robin J. Evans2Christopher L. Steinfort3School of Engineering, Faculty of Science, Engineering and Built Environment, Deakin University, Geelong, VIC 3216, AustraliaSchool of Engineering, Faculty of Science, Engineering and Built Environment, Deakin University, Geelong, VIC 3216, AustraliaDepartment of Electrical and Electronic Engineering, Melbourne University, Parkville, VIC 3010, AustraliaUniversity Hospital Geelong, Geelong, VIC 3220, AustraliaReal-time respiratory measurement with Doppler Radar has an important advantage in the monitoring of certain conditions such as sleep apnoea, sudden infant death syndrome (SIDS), and many other general clinical uses requiring fast nonwearable and non-contact measurement of the respiratory function. In this paper, we demonstrate the feasibility of using Doppler Radar in measuring the basic respiratory frequencies (via fast Fourier transform) for four different types of breathing scenarios: normal breathing, rapid breathing, slow inhalation-fast exhalation, and fast inhalation-slow exhalation conducted in a laboratory environment. A high correlation factor was achieved between the Doppler Radar-based measurements and the conventional measurement device, a respiration strap. We also extended this work from basic signal acquisition to extracting detailed features of breathing function (I : E ratio). This facilitated additional insights into breathing activity and is likely to trigger a number of new applications in respiratory medicine.http://dx.doi.org/10.1155/2015/548136 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Yee Siong Lee Pubudu N. Pathirana Robin J. Evans Christopher L. Steinfort |
spellingShingle |
Yee Siong Lee Pubudu N. Pathirana Robin J. Evans Christopher L. Steinfort Noncontact Detection and Analysis of Respiratory Function Using Microwave Doppler Radar Journal of Sensors |
author_facet |
Yee Siong Lee Pubudu N. Pathirana Robin J. Evans Christopher L. Steinfort |
author_sort |
Yee Siong Lee |
title |
Noncontact Detection and Analysis of Respiratory Function Using Microwave Doppler Radar |
title_short |
Noncontact Detection and Analysis of Respiratory Function Using Microwave Doppler Radar |
title_full |
Noncontact Detection and Analysis of Respiratory Function Using Microwave Doppler Radar |
title_fullStr |
Noncontact Detection and Analysis of Respiratory Function Using Microwave Doppler Radar |
title_full_unstemmed |
Noncontact Detection and Analysis of Respiratory Function Using Microwave Doppler Radar |
title_sort |
noncontact detection and analysis of respiratory function using microwave doppler radar |
publisher |
Hindawi Limited |
series |
Journal of Sensors |
issn |
1687-725X 1687-7268 |
publishDate |
2015-01-01 |
description |
Real-time respiratory measurement with Doppler Radar has an important advantage in the monitoring of certain conditions such as sleep apnoea, sudden infant death syndrome (SIDS), and many other general clinical uses requiring fast nonwearable and non-contact measurement of the respiratory function. In this paper, we demonstrate the feasibility of using Doppler Radar in measuring the basic respiratory frequencies (via fast Fourier transform) for four different types of breathing scenarios: normal breathing, rapid breathing, slow inhalation-fast exhalation, and fast inhalation-slow exhalation conducted in a laboratory environment. A high correlation factor was achieved between the Doppler Radar-based measurements and the conventional measurement device, a respiration strap. We also extended this work from basic signal acquisition to extracting detailed features of breathing function (I : E ratio). This facilitated additional insights into breathing activity and is likely to trigger a number of new applications in respiratory medicine. |
url |
http://dx.doi.org/10.1155/2015/548136 |
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