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。

关键词: 心电信号, 基线漂移, 提升小波, 高通滤波器, 滑动平均滤波, 中值滤波

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.

Key words: electrocardiosignal, Baseline Wander(BW), lifting wavelet, high-pass filter, moving-average filtering, median filtering

中图分类号: 

• TP317.4