Key result
Hilbert vibration decomposition improves severe baseline wander removal over empirical mode decomposition and mathematical morphology.
Why the study?
A technique to effectively remove baseline wander from ECG signals is needed to improve signal quality and analysis accuracy.
Population
ECG recordings with artificial baseline wander distortions of different amplitudes
Comparison
Hilbert vibration decomposition technique vs empirical mode decomposition and mathematical morphology methods
Design
Simulation study comparing baseline removal techniques
Authors
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Should not yet change ECG preprocessing practice; leaves open need for clinical validation of Hilbert vibration decomposition.
The Hilbert vibration decomposition technique offers an improved method for removing severe baseline wander from ECG signals compared to traditional empirical mode decomposition.
Sharma et al. (2015) studied Baseline wander in electrocardiogram (ECG) signals. Hilbert vibration decomposition (HVD) technique vs. Empirical mode decomposition technique and mathematical morphology was evaluated on Correlation criterion and signal-to-noise ratio. The proposed Hilbert vibration decomposition technique for baseline wander removal performed better than empirical mode decomposition and mathematical morphology in most cases of severe distortions.
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