You are not logged in.

Motion artefact separation in single channel doppler radar respiration measurement

Lee, Yee Siong and Pathirana, Pubudu N. 2015, Motion artefact separation in single channel doppler radar respiration measurement, in ISBB 2015 : Proceedings of the 4th International Symposium on Bioelectronics and Bioinformatics, IEEE, Piscataway, N.J., pp. 79-82, doi: 10.1109/ISBB.2015.7344928.

Attached Files
Name Description MIMEType Size Downloads

Title Motion artefact separation in single channel doppler radar respiration measurement
Author(s) Lee, Yee Siong
Pathirana, Pubudu N.ORCID iD for Pathirana, Pubudu N. orcid.org/0000-0001-8014-7798
Conference name Bioelectronics and Bioinformatics. International Symposium (4th : 2015 : Beijing, China)
Conference location Beijing, China
Conference dates 14-17 Oct. 2015
Title of proceedings ISBB 2015 : Proceedings of the 4th International Symposium on Bioelectronics and Bioinformatics
Publication date 2015
Start page 79
End page 82
Total pages 4
Publisher IEEE
Place of publication Piscataway, N.J.
Summary Direct conversion Doppler radar has the capability to remotely monitor human respiratory activity in a non-contact form. However, the motion or movement from the subject will degrade the acquired respiration signal. As the respiration pattern is one of the essential parameters in respiratory medicine intrinsically containing more information about the respiratory function, it is particularly important to suppress or to separate these motion artefacts in order to reconstruct the corresponding patterns. Experiment results show that EMD-ICA algorithm is capable of separating the mixed respiration signal by recovering the useful information of the breathing pattern as well as the motion signatures using only a single channel measurement when using the source separation algorithm. This reduces the complexity and the cost of the sensing system while removing the undesirable artefacts. A high correlation was also observed from the recovered respiration pattern in comparison to the standard respiration strap for both experiments setup (a seated and a supine position).
ISBN 9781467366076
Language eng
DOI 10.1109/ISBB.2015.7344928
Field of Research 090399 Biomedical Engineering not elsewhere classified
Socio Economic Objective 970109 Expanding Knowledge in Engineering
HERDC Research category E1 Full written paper - refereed
ERA Research output type E Conference publication
Copyright notice ©2015, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30080339

Document type: Conference Paper
Collection: School of Engineering
Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 0 times in TR Web of Science
Scopus Citation Count Cited 0 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 79 Abstract Views, 0 File Downloads  -  Detailed Statistics
Created: Fri, 18 Dec 2015, 16:15:52 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 drosupport@deakin.edu.au.