Key result
A time-frequency transformation technique based on a smooth wavelet tight frame with vanishing moments was applied to eliminate baseline wander from ECG signals.
A time-frequency transformation technique based on smooth wavelet tight frames was developed to eliminate baseline wander from ECG signals.
May aid ECG denoising in computational studies; leaves open clinical validation before practice adoption.
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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Sanyal et al. (2012) studied ECG baseline drift. Time-frequency transformation (TFT) technique based on smooth wavelet tight frame was evaluated on Elimination of baseline wander from ECG signal. A time-frequency transformation technique based on a smooth wavelet tight frame with vanishing moments was applied to eliminate baseline wander from ECG signals.
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