Key result
The improved variational mode decomposition (IVMD) technique achieved a highest signal-to-noise ratio of 83 dB compared to 42 dB with traditional VMD for denoising ECG signals.
Why the study?
ECG signals are disturbed by noises such as baseline wandering, muscle artifacts, and power line interference, which must be removed to acquire correct information.
Absolute Event Rate: 83% vs 42%
The improved variational mode decomposition technique significantly enhances the signal-to-noise ratio for ECG denoising compared to traditional methods.
May aid ECG interpretation in noisy settings; leaves open clinical validation and outcome impact.
BACKGROUND: Electrocardiogram (ECG) plays a vital role in the analysis of heart activity. It can be used to analyze the different heart diseases and mental stress assessment also. Various noises, such as baseline wandering, muscle artifacts and power line interface disturbs the information within the ECG signal. To acquire correct information from ECG signal, these noises should be removed. METHODS: In the proposed work, the improved variational mode decomposition (IVMD) method for the removal of noise in ECG signals is used. In the proposed method, the weighted signal amplitude integrated over the timeframe of the ECG signal varies the window size during decomposition. Raw ECG data are extracted from 10 subjects and ECG data are also taken from the MIT BIH database for the proposed method. RESULTS: The performance comparison of traditional variational mode decomposition (VMD) and the proposed technique is also calculated using mean square error, percentage root mean square difference, signal to noise ratio and correlation coefficient. The extracted highest signal to noise ratio (SNR) value of acquired ECG signals using traditional VMD is 42db whereas highest value of signal to noise ratio (SNR) using improved VMD (IVMD) is 83db. CONCLUSION: The proposed IVMD technique represented better performance than traditional VMD for denoising of ECG signals.
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Malhotra et al. (2021) studied Electrocardiogram signal noise (n=10). Improved Variational Mode Decomposition (IVMD) vs. Traditional Variational Mode Decomposition (VMD) was evaluated on Highest Signal to Noise Ratio (SNR) in dB. The improved variational mode decomposition (IVMD) technique achieved a highest signal-to-noise ratio of 83 dB compared to 42 dB with traditional VMD for denoising ECG signals.
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