Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/98236
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dc.contributor.authorNijsure, Yogeshen
dc.contributor.authorGunawan, Erryen
dc.contributor.authorYang, Zhangen
dc.contributor.authorGuan, Yong Liangen
dc.contributor.authorChua, Ai Pingen
dc.contributor.authorWen, Fuxien
dc.contributor.authorTay, Wee Pengen
dc.date.accessioned2013-11-08T06:49:43Zen
dc.date.accessioned2019-12-06T19:52:24Z-
dc.date.available2013-11-08T06:49:43Zen
dc.date.available2019-12-06T19:52:24Z-
dc.date.copyright2013en
dc.date.issued2013en
dc.identifier.citationNijsure, Y., Tay, W. P., Gunawan, E., Wen, F., Yang, Z., Guan, Y. L., & Chua, A. P. (2013). An impulse radio ultrawideband system for contactless noninvasive respiratory monitoring. IEEE Transactions on Biomedical Engineering, 60(6), 1509-1517. doi:10.1109/TBME.2012.2237401en
dc.identifier.issn0018-9294en
dc.identifier.urihttps://hdl.handle.net/10356/98236-
dc.description.abstractWe design a impulse radio ultrawideband radar monitoring system to track the chest wall movement of a human subject during respiration. Multiple sensors are placed at different locations to ensure that the backscattered signal could be detected by at least one sensor no matter which direction the human subject faces. We design a hidden Markov model to infer the subject facing direction and his or her chest movement. We compare the performance of our proposed scheme on 15 human volunteers with the medical gold standard using respiratory inductive plethysmography (RIP) belts, and show that on average, our estimation is over 81% correlated with the measurements of a RIP belt system. Furthermore, in order to automatically differentiate between periods of normal and abnormal breathing patterns, we develop a change point detection algorithm based on perfect simulation techniques to detect changes in the subject's breathing. The feasibility of our proposed system is verified by both the simulation and experiment results.en
dc.format.extent9 p.en
dc.language.isoenen
dc.relation.ispartofseriesIEEE Transactions on Biomedical Engineeringen
dc.rights© 2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: https://doi.org/10.1109/TBME.2012.2237401.en
dc.subjectHidden Markov Modelen
dc.subjectRespiration Monitoringen
dc.subjectDRNTU::Engineering::Electrical and electronic engineeringen
dc.titleAn impulse radio ultrawideband system for contactless noninvasive respiratory monitoringen
dc.typeJournal Articleen
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen
dc.identifier.doi10.1109/TBME.2012.2237401en
dc.description.versionAccepted versionen
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