BASELINE DRIFT REMOVAL USING WAVELET DECOMPOSITION

Abstract

Baseline drift elimination is considered a classical problem. In electrocardiography (ECG) signals, baseline drift can influence the accurate diagnosis of heart disease such as ischemia and arrhythmia. We present a wavelet transform- (WT-) based search algorithm using the energy of the signal in different scales to isolate baseline drift from the ECG signal. The algorithm computes wavelet decomposition and then in each scale the energy of the signal is calculated.