Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/98236
Title: An impulse radio ultrawideband system for contactless noninvasive respiratory monitoring
Authors: Nijsure, Yogesh
Gunawan, Erry
Yang, Zhang
Guan, Yong Liang
Chua, Ai Ping
Wen, Fuxi
Tay, Wee Peng
Keywords: Hidden Markov Model
Respiration Monitoring
DRNTU::Engineering::Electrical and electronic engineering
Issue Date: 2013
Source: Nijsure, 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.2012.2237401
Series/Report no.: IEEE Transactions on Biomedical Engineering
Abstract: We 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.
URI: https://hdl.handle.net/10356/98236
http://hdl.handle.net/10220/17498
ISSN: 0018-9294
DOI: 10.1109/TBME.2012.2237401
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.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Journal Articles

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