基于分段式变步长截断误差LMS算法的心率信号提取  

The Abstraction of the Heart Rate Signals Based on Clipped-error LMS Algorithm with Variable Step Size of Segmenting Type

作　　者：赵继印[1] 田宝凤[1] 李建坡[1] 隋俊凌[1] 

机构地区：[1]吉林大学通信工程学院,长春130025

出　　处：《生物医学工程学杂志》2006年第5期974-976,共3页Journal of Biomedical Engineering

摘　　要：自适应滤波对于心率信号这类非平稳随机信号处理是一种有效的方法。提出了一种分段式变步长截断误差LM S算法,采用自回归预测滤波器估计出通过超声多普勒传感器采集到的心率信号中的噪声,用它作为自适应噪声抵消系统中的参考信号,其结果是抵消了主输入通道中的部分噪声,使信噪比提高了36个dB左右,实现了心率信号的提取。The adaptive filter is an effective method to dealing with such kind of non-steady random signal of the heart rate. The algorithm of clipped- error LMS algorithm with variable step size of segmenting type was proposed. We adopted auto-regression predict filter estimating the noise of heart rate signals through Doppler ultrasound sensor. We used it as the reference signal of the adaptive noise canceling system, its result is to remove some noise of main input, it made SNR raise by about 36 dB,It realized the abstraction of the heart rate signals.

关 键 词：心率信号 自适应噪声抵消 分段式变步长截断误差LMS算法 信噪比 收敛速度 

分 类 号：R318[医药卫生—生物医学工程]