Abstract
Among the several noises that contaminate an electrocardiogram (ECG), the most common are the power line interference, other electromagnetic interferences and baseline wander. Due to the presence of baseline drift the isoelectric line of the ECG gets shifted causing a distortion of the ST segment of the original signal which may be misinterpreted as cardiac ischemia or myocardial infraction. Thus, filtering baseline drift from ECG signal is considered to be one of the most addressed problems in bio-medical signal processing. The present work aims to eliminate baseline wander from ECG signal by applying a time-frequency transformation (TFT) technique which is based on smooth wavelet tight frame with vanishing moments. The results obtained are detailed here.
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