Different Methods to Remove Baseline Wandering Noise from the ECG Signal: A Research Perspective

Electrocardiographic (ECG) signals are analyzed for heart rate variability before and after the computer process had been introduced. Relevant ECG data and its storage are compared with live or patient data as well as with synthetic data are termed as invasive and non-invasive techniques. As the techniques determine the heart morphology and its related functionality in-turn predicts the normal/abnormal behavior of the heart, requires filtering when ECG Signal is preprocessed. During measurement, factors such as Patient conditions and their ignorance/fear, power line interference, instrumentation defects are some of the major known reasons for the occurrence of the noisy ECG Signal. The above disturbance creates harmonics in the spectrum of quasi nature ECG signal. In this study, ECG signal is analyzed with reference to patient resting condition, under stress and ambulatory recordings to determine Baseline wandering (BLW) or the low frequency noise associated with source signal. Low frequency noise such as Baseline wandering can disrupt or mask some wave amplitude and duration of the ECG signal. Conditions such as live movement of the patient, inhale and exhale activity of the lungs, and inter connection between the electrodes and skin cause baseline wandering of the ECG signal. This study includes an implementation and evaluation of methods to remove this noise, using fixed/adaptive filters in time and frequency domain.