Key result
Ensemble empirical mode decomposition (EEMD) yielded a lower mean square error for ECG noise reduction compared to traditional EMD and IIR filter approaches.
Population
ECG signals corrupted by high-frequency noises
Comparison
Ensemble empirical mode decomposition (EEMD) vs Empirical mode decomposition and infinite…
Design
Other
Authors
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May aid ECG denoising in monitoring; leaves open prospective validation on diagnostic accuracy and outcomes.
Ensemble empirical mode decomposition (EEMD) offers superior high-frequency noise reduction for ECG signals compared to traditional EMD and IIR filters.
Kang-Ming Chang (2010) studied ECG noise. Ensemble empirical mode decomposition (EEMD) vs. Empirical mode decomposition (EMD) and infinite impulse response (IIR) filter was evaluated on Mean square error (MSE) between filtered ECG and clean ECG. Ensemble empirical mode decomposition (EEMD) yielded a lower mean square error for ECG noise reduction compared to traditional EMD and IIR filter approaches.
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