PERFORMANCE CALCULATION OF WAVELET TRANSFORMS FOR REMOVAL OF BASELINE WANDER FROM ECG

As change in ST segment is an indication of ischemia in ECG and usually baseline wanders which are low frequency component of 0.5 to 1 Hz signal overlaps the ST segment in ECG, when the ECG is recorded by the electrodes from the chest of the patient. So Baseline wanders may makes wrong interpretation for the detection of ischemia and removal of baseline wander may cause another loss of important clinical information. This paper is to present the wavelet transform for estimation of baseline wanders in ECG and to find the effectiveness of this method by the Percent Root Mean Square Difference (PRD). Obtained results show that the wavelet transform approach performs successfully removal of baseline wanders. To test the proposed method, ECG signals obtained from European ST-T database have been used.

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