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Related Experiment Videos

Empirical mode decomposition: a method to reduce low frequency interferences from surface electroenterogram.

Y Ye1, J Garcia-Casado, J L Martinez-de-Juan

  • 1Centro de Investigación e Innovación en Bioingeniería, Universidad Politécnica de Valencia, and Departamento de Cirugía, Hospital Universitario la Fe de Valencia, Spain. yiye@eln.upv.es

Medical & Biological Engineering & Computing
|May 31, 2007
PubMed
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Empirical mode decomposition (EMD) effectively removes respiratory artifacts and low-frequency noise from surface electroenterograms (EEnG). This improves the signal-to-interference ratio, aiding in the identification of intestinal slow waves.

Area of Science:

  • Biomedical Engineering
  • Gastroenterology
  • Signal Processing

Background:

  • Surface electroenterogram (EEnG) is a non-invasive technique for assessing myoelectrical bowel activity.
  • EEnG signals are often contaminated by cardiac, respiratory, and motion artifacts, hindering accurate analysis.
  • Effective artifact removal is crucial for reliable interpretation of EEnG data.

Purpose of the Study:

  • To apply Empirical Mode Decomposition (EMD) for removing respiratory artifacts and very low-frequency components from canine EEnG recordings.
  • To evaluate the effectiveness of EMD in improving the signal quality of surface EEnG.
  • To assess the potential of EMD as a tool for identifying intestinal slow waves.

Main Methods:

  • Surface EEnG recordings were obtained from a canine model.

Related Experiment Videos

  • Empirical Mode Decomposition (EMD) was employed to process the EEnG signals.
  • Signal-to-interference (S/I) ratio and signal/interference attenuation levels were calculated before and after EMD application.

    • Main Results:

    • The S/I ratio significantly increased after EMD application (3.68±5.54 dB to 10.45±3.65 dB).
    • EMD resulted in a substantial attenuation of interference (-0.49±0.80 dB for signal vs. -7.26±5.42 dB for interference).
    • These findings indicate a marked improvement in signal clarity and a reduction in noise.

    Conclusions:

    • Empirical Mode Decomposition (EMD) is a viable method for mitigating respiratory artifacts and low-frequency interference in surface EEnG.
    • EMD enhances the signal-to-interference ratio, facilitating the detection of intestinal electrical activity.
    • This technique shows promise for improving the diagnostic utility of EEnG in clinical and research settings.