基于空域追踪算法的基线漂移信号噪声修正  

Baseline drift noise correction based on null space pursuit algorithm

作　　者：谢芳娟[1] 朱淑云[1] 

机构地区：[1]南昌大学科学技术学院,南昌330029

出　　处：《沈阳工业大学学报》2016年第6期692-696,共5页Journal of Shenyang University of Technology

基　　金：江西省教育厅科学技术研究项目(GJJ151497)

摘　　要：为了消除基线漂移信号噪声对信号的干扰影响,提出一种基于空域追踪的修正算法.通过非线性滤波器从原始信号中粗提出基线信号,利用多步迭代微分算子从基线漂移信号中分解出更加精准的基线信号,再从原始信号中移除基线漂移信号,完成基线漂移信号噪声修正.选取多种类型测试数据(包括心电信号与噪声数据)来验证算法的有效性,结果表明,同传统的四种基线漂移信号修正算法相比,所提出的算法可以高效去除基线漂移信号的干扰.In order to cancel the interference influence of baseline drift noise on signals, a correction method based on the null space pursuit algorithm was proposed. The baseline signals were coarsely extracted from the original signals with a nonlinear filter, and more accurate baseline signals were separated from the baseline drift signals with the mufti-iterative differential operators. Then the accurate baseline drift signals were removed from the original signals, and the noise correction of baseline drift signals were accomplished. Various types of test data, including electrocardiograph （ECG） signals and noise data, were selected to verify the efficiency of the algorithm. The experimental results show that compared with the four traditional correction algorithms for baseline drift signals, the proposed algorithm can remove the interference of baseline drift signals with high efficiency.

关 键 词：基线漂移信号 心电信号 噪声信号 非线性滤波 空域追踪 微分算子 迭代运算 噪声修正 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]