A denoising algorithm using MAP filtering in the wavelet domain almost completely removed noise from ECG signals while preserving useful waveforms.
A MAP filtering algorithm in the wavelet domain effectively removes noise from ECG signals while preserving useful waveforms.
The paper presents a denoising algorithm particularly suited to ECG signals processing. The main stage of this algorithm consists in a MAP filtering in the wavelet domain. Its effectiveness relies on the qualities of the wavelet transform and of the statistical filter used. Tests made on ECG signals, in realistic conditions, showed very promising results. The noise is almost completely removed, while the useful waveforms are preserved.
Arvinti et al. (Mon,) conducted a other in ECG signals. Denoising algorithm using MAP filtering in the wavelet domain was evaluated on Denoising effectiveness. A denoising algorithm using MAP filtering in the wavelet domain almost completely removed noise from ECG signals while preserving useful waveforms.