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雷达式非接触检测中呼吸和心跳信号分离算法的研究
引用本文:张华,孙娜娜,张鹏飞,李盛,焦腾,张杨,吕昊,于霄,马腾,薛慧君,路国华,王健琪.雷达式非接触检测中呼吸和心跳信号分离算法的研究[J].中国医疗设备,2013(11):9-11.
作者姓名:张华  孙娜娜  张鹏飞  李盛  焦腾  张杨  吕昊  于霄  马腾  薛慧君  路国华  王健琪
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,陕西西安710032 [2]第四军医大学唐都医院信息科,陕西西安710038
基金项目:国家自然科学基金面上项目(61271102)
摘    要:为了有效地从生物雷达的体动信号中分离出呼吸和心跳信号,实现生理特征参数(呼吸率和心率)实时监测,本文在自适应噪声抵消模型的基础上,提取呼吸信号的谐波组合作为模型的参考输入,将生物雷达检测到的体动信号作为模型的原始输入,构建了一套适用于生物雷达检测中分离呼吸、心跳信号的自适应谐波抵消算法。仿真实验结果表明,该算法简单、易于实现,能够实时地分离呼吸和心跳信号。

关 键 词:生物雷达  自适应噪声抵消器  实时分离  呼吸信号  心跳信号  非接触检测

Study on the Algorithm for Separation of Heartbeat and Respiratory Signals Based on Radar Non-contact Detection
Authors:ZHANG Hua  SUN Na-na  ZHANG Peng-fei  LI Sheng  JIAO Teng  ZHANG Yang  LV Hao  YU Xiao  MA Teng  XUE Hui-jun  LU Guo-hua  WANG Jian-qi
Institution:I.Teaching and Research Section of Electronics, School of Biomedical Engineering, The Fourth Military Medical University, Xi'an Shanxi 710032, China; 2.Department of Information, Tangdu Hospital, The Fourth Military Medical University. Xi'an Shanxi 710038, China
Abstract:In order to separate the breathing and heartbeat signals from biological radar effectively so that the physiological characteristic parameters (respiration rate and heart rate ) can be real-time monitored, this paper proposed a LMS adaptive harmonic cancellation algorithm by extracting the harmonic combination of the respiratory signals as reference input and the body motion signals detected by biological radar as original input based on adaptive noise canceller. Simulation results showed that breathing and heartbeat signals can be separated in real time with the proposed algorithm which is simple and easy to be implemented.
Keywords:biological radar  adaptive noise canceller  real-time separation  breathing signals  heartbeatsignals  non-contact detection
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