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Variational mode decomposition based ECG denoising using non-local means and wavelet domain filtering.

Pratik Singh1, Gayadhar Pradhan2

  • 1Department of Electronics and Communication Engineering, National Institute of Technology, Patna, Patna, 800005, India. pratik140871@nitp.ac.in.

Australasian Physical & Engineering Sciences in Medicine
|September 8, 2018
PubMed
Summary

This study introduces an advanced electrocardiogram (ECG) denoising method using variational mode decomposition (VMD), non-local means (NLM), and discrete wavelet transform (DWT). The novel approach effectively removes noise across the entire ECG signal frequency range, improving diagnostic accuracy.

Keywords:
DenoisingDiscrete wavelet transformElectrocardiogramNon-local meansVariational mode decompositionVariational mode function

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Area of Science:

  • Biomedical Engineering
  • Signal Processing

Background:

  • Existing electrocardiogram (ECG) denoising methods struggle to eliminate noise across the full frequency spectrum.
  • Effective noise reduction is crucial for accurate ECG signal interpretation and diagnosis.

Purpose of the Study:

  • To develop a novel and effective ECG denoising approach.
  • To overcome the limitations of traditional denoising techniques like Discrete Wavelet Transform (DWT) and Non-Local Means (NLM) estimation.

Main Methods:

  • The proposed method utilizes Variational Mode Decomposition (VMD) to decompose ECG signals into narrow-band variational mode functions (VMFs).
  • Higher frequency VMFs are filtered using DWT-thresholding, while lower frequency VMFs are denoised with NLM estimation.
  • The non-recursive nature of VMD allows for parallel processing of NLM and DWT, enhancing efficiency.

Main Results:

  • The combined NLM and DWT approach effectively addresses the individual limitations of each technique.
  • Signal reconstruction using denoised VMFs results in a cleaner ECG signal.
  • Simulations on the MIT-BIH Arrhythmia database demonstrate superior performance compared to existing state-of-the-art methods.

Conclusions:

  • The proposed VMD-based ECG denoising method offers a significant improvement over current techniques.
  • This approach provides a robust solution for accurate ECG signal acquisition and analysis.
  • The synergistic application of VMD, NLM, and DWT enhances denoising performance and diagnostic utility.