国际生物医学工程杂志
國際生物醫學工程雜誌
국제생물의학공정잡지
INTERNATIONAL JOURNAL OF BIOMEDICAL ENGINEERING
2013年
6期
328-331
,共4页
张华%荆钧尧%李盛%张鹏飞%张杨%焦腾%路国华%王健琪
張華%荊鈞堯%李盛%張鵬飛%張楊%焦騰%路國華%王健琪
장화%형균요%리성%장붕비%장양%초등%로국화%왕건기
生物雷达%自适应噪声抵消%最小均方算法
生物雷達%自適應譟聲牴消%最小均方算法
생물뢰체%자괄응조성저소%최소균방산법
Bioradar%Adaptive noise canceller%LMS
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.
目的 本研究旨在從雷達式生命參數檢測平檯的迴波信號中分離齣呼吸和心跳信號,提取呼吸、心跳特徵參數.方法 分析迴波信號的特徵,改進算法,將呼吸信號的諧波組閤作為自適應濾波器的參攷輸入信號進行迴波信號濾波處理實驗.結果 提齣瞭一種基于自適應諧波牴消的呼吸和心跳信號分離算法.結論 該算法在生物雷達模擬人體平躺實驗中能夠有效地分離齣呼吸和心跳信號.
목적 본연구지재종뢰체식생명삼수검측평태적회파신호중분리출호흡화심도신호,제취호흡、심도특정삼수.방법 분석회파신호적특정,개진산법,장호흡신호적해파조합작위자괄응려파기적삼고수입신호진행회파신호려파처리실험.결과 제출료일충기우자괄응해파저소적호흡화심도신호분리산법.결론 해산법재생물뢰체모의인체평당실험중능구유효지분리출호흡화심도신호.
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.
