论文标题
使用生理信号的数学模型进行信号分离，以测量阵列雷达的心脉冲传播
Signal Separation Using a Mathematical Model of Physiological Signals for the Measurement of Heart Pulse Wave Propagation With Array Radar
论文作者
论文摘要
沿着动脉传播的动脉脉冲波是各种心血管疾病的重要指标。通过测量人体多个部分的位移，可以从脉冲转运时间估算脉冲波速度。本文提出了一种使用天线阵列进行信号分离的技术，因此可以以非接触方式测量脉冲波传播。由于脉搏波在不同身体部位处引起的身体位移高度相关，并且不能使用假定独立或不相关的信号来准确地分离。提出的方法基于动脉脉冲波的数学模型，将信号分离作为优化问题。优化中的目标函数包含四个术语，这些术语是基于小排位近似，单峰脉冲响应近似和因果关系条件得出的。使用遗传算法实施了优化过程。通过数值模拟和实验证明了所提出方法的有效性。
The arterial pulse wave, which propagates along the artery, is an important indicator of various cardiovascular diseases. By measuring the displacement at multiple parts of the human body, pulse wave velocity can be estimated from the pulse transit time. This paper proposes a technique for signal separation using an antenna array, so that pulse wave propagation can be measured in a non-contact manner. The body displacements due to the pulse wave at different body parts are highly correlated, and cannot be accurately separated using techniques that assume independent or uncorrelated signals. The proposed method formulates the signal separation as an optimization problem, based on a mathematical model of the arterial pulse wave. The objective function in the optimization comprises four terms that are derived based on a small-displacement approximation, unimodal impulse response approximation, and a causality condition. The optimization process was implemented using a genetic algorithm. The effectiveness of the proposed method is demonstrated through numerical simulations and experiments.
