摘要
踝臂指数测量的关键是上、下肢收缩压值的精确测量,由于脚踝部位有多条动脉血管,一些动脉血管在加压袖带较高压力下也不能被完全阻断,导致下肢收缩压测量出现误差。本文用一维采样数据构建延迟矢量,由这些延迟矢量组成一个内嵌式矩阵,在此基础上对此内嵌式矩阵进行盲信号分离。仿真和实验表明,应用该方法可以分离出脚踝处包含收缩压信息的动脉血管的波动信号,解决了踝臂指数下肢收缩压测量的难点。
The accurate measurement of the upper and lower limb systolic blood pressure is the key of ankle-brachial index measurement,because there are a number of ankle arteries and some of them can not be blocked completely under higher pressure from the inflate cuff,lead to some errors in the measurement of lower limb systolic pressure.In this paper,an embedding matrix is constructed out of a series of delay vectors from one-dimensional sampled data,blind signal separation can be performed on the basis of the matrix.Simulation and experiments show that application of the method can separate the fluctuant signals of artery which contain information of ankle systolic blood pressure,It solved difficulty in ankle-brachial index measurement.
出处
《传感技术学报》
CAS
CSCD
北大核心
2010年第1期19-23,共5页
Chinese Journal of Sensors and Actuators
关键词
信号处理
盲信号处理
踝臂指数
动态嵌入
特征值分解
signal processing blind signal processing（BSP） ankle-brachial index（ABI） dynamical embedding（DE） eigenvalue decomposition（EVD）
