摘要
该实验研究的目的是为了从雷达式生命参数监护系统的回波信号中分离出呼吸和心跳信号,提取呼吸、心跳的特征参数,为家庭监护及疾病预防提供依据。分析回波信号的特点,改进自适应滤波器的参考输入信号为呼吸信号的谐波组合。针对模拟家庭监护实验提出了基于LMS自适应谐波抵消算法进行自适应滤波。在模拟家庭监护的实验中可以有效地分离出呼吸和心跳信号。
Objective This study aimed to separate the breathing and heartbeat signal effectively from the biologi-cal 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 Analysis the characteristics of the radar echo signal, use the com-bined harmonic of the breathing signal as a reference input signal of the adaptive filter to improve the algo-rithm. Related experiments were designed and completed. Results This paper presents a separation algorithm of heart-beat and respiration based on LMS adaptive harmonic cancellation. Conclusion The output results suggest that the re-suhs of simulated household monitoring experiments were quite well.
出处
《电子科技》
2013年第9期57-60,共4页
Electronic Science and Technology
基金
国家自然科学基金面上资助项目(61271102)
