首页 | 本学科首页   官方微博 | 高级检索  
检索        

生物雷达检测中呼吸和心跳实时分离技术的研究
引用本文:杨芳,;张华,;李盛,;薛慧君,;路国华.生物雷达检测中呼吸和心跳实时分离技术的研究[J].医疗卫生装备,2014(7):28-30.
作者姓名:杨芳  ;张华  ;李盛  ;薛慧君  ;路国华
作者单位:[1]第四军医大学基础医学院教学实验中心,西安710032; [2]第四军医大学生物医学工程学院电子学教研室,西安710032
基金项目:国家自然科学基金资助项目(61271102)
摘    要:目的:从生物雷达检测到的体动信号中分离出心跳信号。方法:采用自适应噪声抵消模型,基于递归最小二乘算法(recursive-leastsquare,RLS)调整模型的输出,并将分离出的心跳信号与心电信号进行比较。结果:该方法可以从体动信号中分离出心跳信号,而且从心跳信号中提取的心率值与从心电信号提取的心率值具有很强的相关性。结论:基于自适应噪声抵消技术,可以实现生物雷达检测中呼吸和心跳的分离。

关 键 词:生物雷达  呼吸  心跳  自适应噪声抵消  最小二乘RLS算法

Technique for separating heartbeat and respiration signals from bio-radar output signals
Institution:YANG Fang, ZHANG Hua, LI Sheng, XUE Hui-jun, LU Guo-hua (1. Department of Experimental Teaching Center, School of Pre-clinical Medicine, the Fourth Military medical University, Xi'an 710032, China; 2. Department of Electronics, School of Biomedical Engineering, the Fourth Military medical University, Xi'an 710032, China)
Abstract:Objective To separate the heartbeat signal from the bio-radar output body-movement signal. Methods The adaptive noise canceller (ANC) with recursive-least square (RLS) algorithm was used to separate the heartbeat signal. The heart rate derived from the de-noised heartbeat and the ECG signals was compared with each other. Results The method could separate effectively the heartbeat signals, and the heart rate derived adaptively from the filtered heartbeat signals was strongly correlated with those from the ECG recordings. Conclusion The heartbeat signal can be separated from the body-movement signal using ANC technology. Chinese Medical Equipment Journal,2014,35(7) :28-30]
Keywords:bio-radar  breath  heartbeat  adaptive noise canceller  recursive-least square
本文献已被 维普 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号