ECG baseline wander reduction using linear phase filters
Computers and Biomedical Research
A recursive algorithm to compute the baseline drift in recorded biological signals
Computers and Biomedical Research
Multirate systems and filter banks
Multirate systems and filter banks
Affine order-statistic filters: “medianization” oflinear FIR filters
IEEE Transactions on Signal Processing
A general weighted median filter structure admitting negativeweights
IEEE Transactions on Signal Processing
ECG signal denoising and baseline wander correction based on the empirical mode decomposition
Computers in Biology and Medicine
Removing harmonic power line interference from biopotential signals in low cost acquisition systems
Computers in Biology and Medicine
Cloud-ECG for real time ECG monitoring and analysis
Computer Methods and Programs in Biomedicine
Fractal and EMD based removal of baseline wander and powerline interference from ECG signals
Computers in Biology and Medicine
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Methods of noise reduction have decisive influence on performance of all electrocardiographic (ECG) signal processing systems. This work deals with problems of baseline wander and powerline interference reduction. It is impossible to reduce effectively these disturbances without signal distortion using a linear filtering approach. Another disadvantage of the linear filters is their long impulse response. This leads to inadmissibly large delay in ECG signal analysis in monitoring and exercise electrocardiography. This work presents a new class of nonlinear filters without these disadvantages. Additionally, using a bank of these filters, powerline interference reduction is possible. Performance of the new method is experimentally compared with the traditional methods of baseline wander reduction using synthetic as well as the signals from the CTS-ECG database.