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.
出处
《生物医学工程学杂志》
EI
CAS
CSCD
北大核心
2006年第5期974-976,共3页
Journal of Biomedical Engineering
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
Heart rate signal Adaptive noise canceling Clipped-error LMS algorithm with variable step size of segmenting type SNR Convergence rate
