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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Main Authors: Yee Siong Lee, Pubudu N. Pathirana, Robin J. Evans, Christopher L. Steinfort
Format: Article
Language:English
Published: Hindawi Limited 2015-01-01
Series:Journal of Sensors
Online Access:http://dx.doi.org/10.1155/2015/548136
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spelling 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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