Baseline Wander Removal of ECG Signals Using Empirical Mode Decomposition and Adaptive Filter

In this paper, we propose a new method for removing the baseline wander interferences based on Empirical Mode Decomposition (EMD) and adaptive filter. EMD is a relatively new, data-driven adaptive technique used to decompose ECG signal into a series of Intrinsic Mode Functions (IMFs). The baseline wander is mainly involved in special lower frequency IMFs. The adaptive filter is designed to remove the baseline wander, the reference signal of which is produced by selectively reconstruction of IMFs. To evaluate the performance of the method, Clinic ECG signals are used. Results indicate that the method is powerful and useful in removing the baseline wander in ECG signal and does not distort the ECG signal.