Publication

Abstract :

Power line interference (PLI), which is in the range of 50 Hz or 60 Hz, is one of the unavoidable noise present in the electrocardiogram signal (ECG). An ECG signal corrupted with PLI noise may end up with poor diagnosis of unhealthy heart conditions. We propose a methodology employing Variational mode decomposition (VMD) In this work, we explore the boundless potential of Variational Mode Decomposition (VMD) for removing the PLI noise from various types of numerically simulated ECG signals obtained from healthy as well as different abnormal heart conditions. An existing mathematical model developed using a discretized reaction diffusion model is used to numerically simulate normal as well as various abnormal ECG signals. The model consists of a set of mutually coupled non-linear oscillators which is represented as a four component ordinary differential equation (ODE) system. The PLI noise is manually added to the numerically simulated ECG signals represent different arrythmia heart conditions. The corrupted abnormal ECG signal is decomposed into intrinsic mode functions (IMFs) employing VMD. Further, the frequency spectrum analysis is performed and the IMFs corresponding to the PLI noise is determined and removed to get back the original ECG signal. From the result analysis, it is observed that the proposed methodology employing VMD can remove power line noise very effectively from healthy as well as various abnormal ECG signals.