Baseline wandering in electrocardiogram (ECG) is one of the biggest interferences in visualization and computerized detection of waveforms (especially ST-segment) based on threshold decision. A new method based on wavelet transform, QRS barycenter fitting and regional method was proposed in this paper. Firstly, wavelet transform as a coarse correction was used to remove the baseline wandering, whose frequency bands were non-overlapping with that of ST-segment. Secondly, QRS barycenter fitting was applied as a detailed correction. The third, the regional method was used to transfer baseline to zero. Finally, the method in this paper was proved to perform better than filtering and function fitting methods in baseline wandering correction after the long-term ST database (LTST) verification. In addition, the proposed method is simple and easy to carry out, and in current use.

译文

:心电图基线漂移(ECG)是基于阈值决策的波形(尤其是ST段)的可视化和计算机检测中的最大干扰之一。提出了一种基于小波变换,QRS重心拟合和区域方法的新方法。首先,使用小波变换作为粗略校正来消除基线漂移,基线漂移的频带与ST段的频带不重叠。其次,应用QRS重心拟合作为详细校正。第三,使用区域方法将基线转换为零。最后,经长期ST数据库(LTST)验证,证明该方法在基线漂移校正中比滤波和函数拟合方法具有更好的性能。另外,所提出的方法简单且易于实施,并且在当前使用。

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