【摘要】 针对心电信号处理中基线漂移噪声难以消除的问题,提出一种基于小波域数字滤波的基线漂移去噪算法。采用提升小波分解心电信号,对最高层尺度系数做数字高通滤波处理,并重构得到去除基线漂移的信号。对MIT/BIH数据库中含噪原始心电数据进行仿真实验,结果表明,该算法在计算复杂度和性能方面能取得比传统算法更好的平衡,在10 dB的信噪比下,其均方误差仅为0.001 8。更多还原

【Abstract】 To solve the problem of processing removal noise of electrocardiosignal Baseline Wander(BW),this paper presents a denoising algorithm based on digital filtering in wavelet domain.The electrocardiosignal is decomposited with the lifting wavelet,then processed through the digital high-pass filter on the highest level of scale coefficients and reconstructed with the removed baseline wander.Based on the noisy electrocardiosignal data in the MIT/BIH database,simulation studies on the proposed algorithm are done.Compared with traditional methods,simulation results show that the proposed algorithm achieves a better balance between computational complexity and performance.MSE of the proposed algorithm is only 0.001 8 in 10 dB SNR condition.更多还原