Denoising Baseline Signal of Electrocardiogram using Separable Wavelets Bases

The electrocardiogram signals are affected by the baseline wandering noise. In this paper, the separable wavelet transform method is used for denoising of the baseline wandering signals. To that end, the one-dimensional signal is set to the two-dimensional matrix via lexicographic ordering. And then, adaptive and wavelet filters is used to remove baseline wandering noise. The proposed method is applied to the wide range of data set from the MIT-BIH arrhythmia database. The performance of the method is assessed by common quantitative metrics.