What is it about?
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.
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Why is it important?
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 for denoising normal and abnormal ECG signals.
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This page is a summary of: On the denoising of periodic and aperiodic ECG signals from a discretized reaction diffusion heart model using variational mode decomposition, January 2024, American Institute of Physics,
DOI: 10.1063/5.0190130.
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