ECG Signal Preprocessing: 50Hz Filtering, Baseline Wander Correction and Visualization
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Resource Overview
ECG Signal Preprocessing Implementation: 50Hz frequency filtering for noise removal, baseline wander correction for signal stabilization, and graphical plotting for analysis including MATLAB code approaches and algorithm explanations.
Detailed Documentation
ECG signal preprocessing typically involves three key computational stages. First, a 50 Hz notch filter or band-stop filter is implemented to eliminate power line interference, which can be achieved using digital filter design techniques like IIR or FIR filters with appropriate cutoff frequencies. Second, baseline wander correction is performed using algorithms such as polynomial fitting or high-pass filtering (typically 0.5Hz cutoff) to remove low-frequency drift components that distort the true ECG morphology. Finally, the processed signal is visualized through graphical plotting functions, where MATLAB's plot() or subplot() functions can be used to display both raw and processed signals for comparative analysis, enabling quantitative assessment of preprocessing effectiveness through metrics like signal-to-noise ratio improvement.
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