Submit Manuscript
Peer Review
Editor Work
| Citation: | Hu Xikun, Jin Tian. Adaptive Wavelet Scale Selection-based Method for Separating Respiration and Heartbeat in Bio-radars[J]. Journal of Radars, 2016, 5(5): 462-469. doi: 10.12000/JR16103
|
Adaptive Wavelet Scale Selection-based Method for Separating Respiration and Heartbeat in Bio-radars
DOI: 10.12000/JR16103
-
Abstract
Extracting periodic heartbeat signals based on the traditional Fourier transform using a noncontact bio-radar is difficult because chest displacements caused by the heart are much smaller than those caused by respiration. Normally, they can be separated using the continuous wavelet transform; however, the miniscule difference of wavelet scale selection under different conditions may influence the separation performance to some extent. To solve this problem, this study proposes a method based on signal-to-noise ratio calibration to adaptively select the Morletdyadic wavelet scales and then separate the heartbeat signal from the respiration one using the selected scales, which can be applied to detect vital signs of different conditions. The experimental results have exhibited the accuracy and feasibility of the proposed method. -
-
References
[1] 胡巍. 基于多普勒雷达的非接触式生命体征检测技术研究[D].[博士论文], 中国科学技术大学, 2014:1-5. Hu Wei. Non-contact vital sign detection based on Doppler radar[D].[Ph.D. dissertation], University of Science and Technology of China, 2014:1-5.[2] Li Changzhi, Lin Jenshan, and Xiao Yanming. Robust overnight monitoring of human vital signs by a non-contact respiration and heartbeat detector[C]. IEEE EMBS Annual International Conference, New York, NY, USA, 2006:2235-2238.[3] Hu Wei, Zhao Zhangyan, Wang Yunfeng, et al.. Noncontact accurate measurement of cardiopulmonary activity using a compact quadrature Doppler radar sensor[J]. IEEE Transactions on Biomedical Engineering, 2014, 61(3):725-735.[4] Gu Changzhan and Li Changzhi. Assessment of human respiration patterns via noncontact sensing using Doppler multi-radar system[J]. Sensors, 2015, 15(3):6383-6398.[5] Gu Changzhan. Short-Range noncontact sensors for healthcare and other emerging applications:A review[J]. Sensors, 2016, 16(8). Pii:E1169. DOI: 10.3390/s16081169.[6] Chen Kun-Mu, Huang Yong, Zhang Jianping, et al.. Microwave life-detection systems for searching humansubjects under earthquake rubble or behind barrier[J]. IEEE Transactions on Biomedical Engineering, 2000, 47(1):105-114.[7] Gu Changzhan and Li Changzhi. From tumor targeting to speech monitoring:accurate respiratory monitoring using medical continuous-wave radar sensors[J]. IEEE Microwave Magazine, 2014, 15(4):66-76.[8] Fontana R J. Recent system applications of short-pulse ultra-wideband (UWB) technology[J]. IEEE Transactions on Microwave Theory and Techniques, 2004, 52(9):2087-2104.[9] Lazaro A, Girbau D, and Villarino R. Analysis of vital signs monitoring using an IR-UWB radar[J]. Progress In Electromagnetics Research, 2010, 100:265-284.[10] Tariq A and Ghafouri-Shiraz H. Vital signs detection using Doppler radar and continuous wavelet transform[J]. Journal of Nursing Science, 2011, 10(5):285-288.[11] Tariq A and Ghafouri-Shiraz H. Doppler radar vital signs monitoring using wavelet transform[C]. 2010 Antennas & Propagation Conference, Loughborough, 2010:293-296.[12] Morgan D and Zierdt M. Novel signal processing techniques for Doppler radar cardiopulmonary sensing[J]. Signal Processing, 2009, 89(1):45-66.[13] 易丽, 何怡刚, 方葛丰, 等. 基于Morlet小波在雷达信号脉内特征提取中的应用[J]. 计算机应用研究, 2013, 30(1):172-175. Yi Li, He Yigang, Fang Gefeng, et al.. Application of modified Morlet wavelet in feature extraction of radar signal to intra-pulse[J]. Application Research of Computers, 2013, 30(1):172-175.[14] 薛蕙, 杨仁刚. 基于连续小波变换的非整数次谐波测量方法[J]. 电力系统自动化, 2003, 27(5):49-53. Xue Hui and Yang Rengang. A novel method for non-integer harmonics measurement using continuous wavelet transform[J]. Automation of Electric Power Systems, 2003, 27(5):49-53.[15] 卢新城, 龚沈光, 周骏, 等. 基于Morlet小波的高分辨信号频谱估计[J]. 武汉理工大学学报(交通科学与工程版), 2002, 27(5):61-74. Lu Xincheng, Gong Shenguang, Zhou Jun, et al.. High resolution signal spectrum estimation based on Morletwavelet[J]. Journal of Wuhan University of Technology (Transportation Science & Engineering), 2002, 27(5):61-74.[16] Yang Yushan and Li Yuanyuan. Spectral analysis of geomagnetic data with continuous wavelet transform[C]. International Congress on Image and Signal Processing, 2009:1-4.[17] Rueda J L, Juarez C A, and Erlich I. Wavelet-based analysis of power system low-frequency electromechanical oscillations[J]. IEEE Transactions on Power Systems, 2011, 26(3):1733-1743.[18] Ball John E and Tolley Alan. Low SNR radar signal detection using the continuous wavelet transform (CWT) and a Morlet wavelet[C]. 2008 IEEE Radar Conference, 2008:1-6.[19] Lazaro Antonio, Girbau David, and Villarino Ramon. Techniques for clutter suppression in the presence of body movements during the detection of respiratory activity through UWB radars[J]. Sensors, 2014, 14(2):2595-2618. -
Proportional views
- Publishing Ethics
- Journal Insights
- Abstracting & Indexing
- Peer Review Policies
- Guide for Authors
- Conference
- ISSN 2095-283X (Print)ISSN 2097-339X (Online)
- CN 10-1030/TN
- CODEN LXEUAO
About Journal
- Sponsor: China Radio Detection and Ranging Industry Association (CRIA)
- Phone: 010-58887062
- Email：radars@aircas.ac.cn
- Publisher: Leida Xuebao Bianjibu (Editorial office of the Journal of Radars)
Contacts Us
京ICP备20021838号-8
Supported by: Beijing Renhe Information Technology Co. Ltd
Export File
Citation
DownLoad: