Novel signal processing techniques for Doppler radar cardiopulmonary sensing
Novel signal processing techniques for Doppler radar cardiopulmonary sensing
复制标题
DOI：
10.1016/j.sigpro.2008.07.008
复制
发表时间：
2009-01-01
影响因子：
4.4
通讯作者：
Zierdt, Michael G.
中科院分区：
文献类型：
--
作者：
Morgan, Dennis R.;Zierdt, Michael G.
在本文中，我们开发了新的信号处理技术多普勒雷达心肺传感。这些技术使得能够从胸壁动态运动的测量中独立地恢复呼吸和心跳信号，其随后用于呼吸和心率的独立估计。特别是引入了三个新颖的元素：在复平面中将复合解调信号表示为各种分量的矢量和的概念、将DC耦合与块均值去除相结合、以及呼吸谐波的自适应消除。从这一点，算法推导出弧长解调和心肺分离。研制了一种模拟实际信号的测试信号发生器。此外，实验装置和几组真实的数据进行了分析，使用新的信号处理技术。(C)2008 Elsevier B.V.保留所有权利。
In this paper, we develop new signal processing techniques for Doppler radar cardiopulmonary sensing. These techniques enable independent recovery of respiration and heartbeat signals from measurements of chest-wall dynamic motion, which are subsequently used for independent estimation of respiration and heart rate. in particular, three novel elements are introduced: the concept of representing the composite demodulated signal in the complex plane as a vector sum of various components, combining dc coupling with block mean removal, and adaptive cancellation of respiration harmonics. From this, algorithms are derived for arc-length demodulation and cardio/pulmonary separation. A test signal generator is developed to simulate actual signals. Also, an experimental setup is presented and several sets of real data are analyzed using the new signal processing techniques. (C) 2008 Elsevier B.V. All rights reserved.