| 一种生物雷达呼吸和心跳信号实时分离技术 |
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| 引用本文： | 张华,荆钧尧,李盛,张鹏飞,张杨,焦腾,路国华,王健琪. 一种生物雷达呼吸和心跳信号实时分离技术[J]. 国际生物医学工程杂志, 2013, 0(6): 328-331 |
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| 作者姓名： | 张华 荆钧尧 李盛 张鹏飞 张杨 焦腾 路国华 王健琪 |
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| 作者单位： | [1]第四军医大学生物医学工程学院电子学教研室,西安710032 [2]西安电子工程研究所,710100 |
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| 基金项目： | 国家自然科学基金面上项目（61271102） |
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| 摘 要： | 目的 本研究旨在从雷达式生命参数检测平台的回波信号中分离出呼吸和心跳信号,提取呼吸、心跳特征参数.方法 分析回波信号的特征,改进算法,将呼吸信号的谐波组合作为自适应滤波器的参考输入信号进行回波信号滤波处理实验.结果 提出了一种基于自适应谐波抵消的呼吸和心跳信号分离算法.结论 该算法在生物雷达模拟人体平躺实验中能够有效地分离出呼吸和心跳信号.
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| 关 键 词： | 生物雷达 自适应噪声抵消 最小均方算法 |
Study on the technology for separation of bioradar heartbeat and respiratory signal based on the LMS adaptive harmonic cancellation |
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| Affiliation: | ZHANG Hua,JING Jun-yao LI Sheng,ZHANG Peng-fei,ZHANG Yang,JIAO Teng,LU Guo-hua( 1.Department of Electronics, School of Biomedical Engineering, Fourth Military Medical University, Xian 710032, China;) |
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| Abstract: | Objective To separate the breathing and heartbeat information effectively from biological radar echo signal,as well as extract the breathing and heartbeat characteristics in order to provide the basis for clinical diagnosis and disease prevention.Methods The characteristics of radar echo signal was analyzed using combined harmonic of the breathing signal as a reference input of the adaptive filter to improve the algorithm.Related experiments were designed and completed.Results A heartbeat and respiration separation algorithm based on LMS adaptive harmonic cancellation was presented and verified.Conclusion The output results suggested that the algorithm can be applied in simulated lying down experiments and to separate heart and respiratory signals effectively. |
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| Keywords: | Bioradar Adaptive noise canceller LMS |
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