Suppression of interference in continuous wave Doppler radar based respiratory measurements

Lee, Yee Siong and Pathirana, Pubudu N. 2016, Suppression of interference in continuous wave Doppler radar based respiratory measurements, Biomedical signal processing and control, vol. 25, pp. 86-90, doi: 10.1016/j.bspc.2015.10.002.

Attached Files
Name Description MIMEType Size Downloads

Title Suppression of interference in continuous wave Doppler radar based respiratory measurements
Author(s) Lee, Yee Siong
Pathirana, Pubudu N.ORCID iD for Pathirana, Pubudu N.
Journal name Biomedical signal processing and control
Volume number 25
Start page 86
End page 90
Total pages 5
Publisher Elsevier
Place of publication Amsterdam, The Netherlands
Publication date 2016-03
ISSN 1746-8094
Keyword(s) respiration pattern
Doppler radar
approximate entropy
Summary Microwave Doppler radar has received considerable attention as a non-contact form of measuring human respiration; in particular for long term monitoring. One of the main challenges in converting this into a viable application is to suppress or separate the artefacts and other interfering signals from the desired respiration signal using a less complex and practically feasible design for regular and potentially real time use. Existing systems either require complex experimental setups or multiple Doppler radar modules to achieve this. In this paper, we propose an approach based on EMD-ICA and approximate entropy ideas to systematically separate received Doppler shifted signal into distinct components and reconstruct the desired respiration pattern pertaining to respective physiological activity. Indeed this allows suppression of the undesirable artefacts and interference from other competing signals. Practical experiments confirmed comparable performance of the proposed method to the measurements obtained through chest straps which are widely used clinically for monitoring respiration.
Language eng
DOI 10.1016/j.bspc.2015.10.002
Field of Research 0903 Biomedical Engineering
1004 Medical Biotechnology
Socio Economic Objective 970109 Expanding Knowledge in Engineering
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2015, Elsevier
Persistent URL

Connect to link resolver
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 1 times in TR Web of Science
Scopus Citation Count Cited 1 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 360 Abstract Views, 2 File Downloads  -  Detailed Statistics
Created: Wed, 30 Mar 2016, 12:08:43 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact