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The power line interference (PLI) reduction for ECG signals is a challenging task for its time-varying amplitude and time-varying frequency within the spectrum range of ECG signals. Most existing Least Squared-based methods such as Extended Kalman filter to estimate PLI from noisy ECG are vulnerable to the QRS pulses, especially for lower noisy-to-signal ratio ECG. This study proposes a robust tracking...
Characteristic points (CPs) detection is still an open problem for the automatic analysis of electrocardiogram (ECG). Past Kalman Filter-Based efforts to extract CPs rely on a locally linearized approximation of the nonlinear ECG dynamical model and fail to detect all CPs accurately for strong noisy ECG. In this study, an improved particle filters-based algorithm is developed to track the dynamical...
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