互补型自适应滤波器在心磁信号处理中的应用

将心磁信号从干扰噪声中加以提取并有效地消除噪声干扰是心磁信号处理中尤为重要的环节 .从改进算法的角度出发，提出互补型自适应滤波器结构以实现心磁信号的消噪处理.该滤波器针对心磁这类非平稳信号进行设计，有效地解决了常规自适应滤波器应用于心磁信号处理时收敛速度和稳态误差的矛盾.通过仿真实验和心磁实验结果表明，该算法能有效地消除心磁信号的背景噪声和工频干扰噪声.同时该算法也可用于其他非平稳信号的消噪处理. 关键词： 自适应滤波 心磁图 最小均方误差

Applications of improved complementary pair adaptive noise cancellation to MCG analysis

How to extract the magnetocardiography (MCG) signals from the background noises and attenuate the noise is the key element of MCG signal processing. From the aspect of software technique,a new adaptive algorithm is proposed to suppress the environmental magnetic noise of MCG in this paper. The proposed algorithm is called improved complementary pair normalized least mean square algorithm. This adaptive structure is designed for MCG. This new algorithm provides the faster convergence speed and smaller steady-state error. In order to test the performance of this algorithm,the result of the simulated experiment and real MCG signal is analyzed. This method bring about the effective noise attenuation. Meanwhile,this algorithm is suitable for noise cancellation of other non-stationary signals.