Low-complexity Wireless Monitoring of Respiratory Movements Using Ultra-wideband Impulse Response Estimation

Handle URI:
http://hdl.handle.net/10754/346323
Title:
Low-complexity Wireless Monitoring of Respiratory Movements Using Ultra-wideband Impulse Response Estimation
Authors:
Sana, Furrukh ( 0000-0002-6712-9357 ) ; Ballal, Tarig; Al-Naffouri, Tareq Y.; Hoteit, Ibrahim ( 0000-0002-3751-4393 )
Abstract:
In this paper; we present a comprehensive scheme for wireless monitoring of the respiratory movements in humans. Our scheme overcomes the challenges low signal-to-noise ratio, background clutter and high sampling rates. It is based on the estimation of the ultra-wideband channel impulse response. We suggest techniques for dealing with background clutter in situations when it might be time variant. We also present a novel methodology for reducing the required sampling rate of the system significantly while achieving the accuracy offered by the Nyquist rate. Performance results from simulations conducted with pre-recorded respiratory signals demonstrate the robustness of our scheme for tackling the above challenges and providing a low-complexity solution for the monitoring of respiratory movements.
KAUST Department:
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Citation:
Low-complexity Wireless Monitoring of Respiratory Movements Using Ultra-wideband Impulse Response Estimation
Publisher:
Elsevier
Journal:
Biomedical Signal Processing and Control
Issue Date:
Mar-2014
DOI:
10.1016/j.bspc.2013.11.004
Type:
Article
ISSN:
17468094
Additional Links:
http://linkinghub.elsevier.com/retrieve/pii/S1746809413001614; http://www.sciencedirect.com/science/article/pii/S1746809413001614
Appears in Collections:
Articles; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorSana, Furrukhen
dc.contributor.authorBallal, Tarigen
dc.contributor.authorAl-Naffouri, Tareq Y.en
dc.contributor.authorHoteit, Ibrahimen
dc.date.accessioned2015-03-08T10:30:33Zen
dc.date.available2015-03-08T10:30:33Zen
dc.date.issued2014-03en
dc.identifier.citationLow-complexity Wireless Monitoring of Respiratory Movements Using Ultra-wideband Impulse Response Estimationen
dc.identifier.issn17468094en
dc.identifier.doi10.1016/j.bspc.2013.11.004en
dc.identifier.urihttp://hdl.handle.net/10754/346323en
dc.description.abstractIn this paper; we present a comprehensive scheme for wireless monitoring of the respiratory movements in humans. Our scheme overcomes the challenges low signal-to-noise ratio, background clutter and high sampling rates. It is based on the estimation of the ultra-wideband channel impulse response. We suggest techniques for dealing with background clutter in situations when it might be time variant. We also present a novel methodology for reducing the required sampling rate of the system significantly while achieving the accuracy offered by the Nyquist rate. Performance results from simulations conducted with pre-recorded respiratory signals demonstrate the robustness of our scheme for tackling the above challenges and providing a low-complexity solution for the monitoring of respiratory movements.en
dc.publisherElsevieren
dc.relation.urlhttp://linkinghub.elsevier.com/retrieve/pii/S1746809413001614en
dc.relation.urlhttp://www.sciencedirect.com/science/article/pii/S1746809413001614en
dc.rightsArchived with thanks to Biomedical Signal Processing and Controlen
dc.subjectUWBen
dc.subjectRespiratory Monitoringen
dc.subjectVital Signsen
dc.subjectCompressed Sensingen
dc.subjectSABMPen
dc.subjectSamplingen
dc.subjectImpulse Responseen
dc.subjectNyquist Rateen
dc.subjectMultipath Removalen
dc.subjectClutter Removalen
dc.subjectSparse Signalen
dc.subjectSparsityen
dc.titleLow-complexity Wireless Monitoring of Respiratory Movements Using Ultra-wideband Impulse Response Estimationen
dc.typeArticleen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.identifier.journalBiomedical Signal Processing and Controlen
dc.eprint.versionPost-printen
dc.contributor.affiliationKing Abdullah University of Science and Technology (KAUST)en
kaust.authorSana, Furrukhen
kaust.authorAl-Naffouri, Tareq Y.en
kaust.authorHoteit, Ibrahimen
kaust.authorBallal, Tarigen
All Items in KAUST are protected by copyright, with all rights reserved, unless otherwise indicated.