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Artifact reduction in electrogastrogram based on empirical mode decomposition method

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Abstract

Severe contamination of the gastric signal in electrogastrogram (EGG) analysus by respiratory, motion, cardiac artifacts, and possible myoelectrical activity from other organs, poses a major challenge to EGG interpretation and analysis. A generally applicable method for removing a variety of artifacts from EGG recordings is proposed based on the empirical mode decomposition (EMD) method. This decomposition technique is adaptive, and appears to be uniquely suitable for nonlinear, non-stationary data analysis. The results show that this method, combined with instantaneous frequency analysis, effectively separate, identify and remove contamination from a wide variety of artifactual sources in EGG recordings.

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Authors and Affiliations

  1. Center for Complex Systems & Brain Sciences, Florida Atlantic University, Boca Raton, Florida, USA

    H. Liang

  2. Department of Medicine, University of Kansas Medical Center, Kansas City, Kansas, USA

    Z. Lin & R. W. McCallum

Authors
  1. H. Liang
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  2. Z. Lin
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  3. R. W. McCallum
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Correspondence to H. Liang.

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Liang, H., Lin, Z. & McCallum, R.W. Artifact reduction in electrogastrogram based on empirical mode decomposition method. Med. Biol. Eng. Comput. 38, 35–41 (2000). https://doi.org/10.1007/BF02344686

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  • DOI: https://doi.org/10.1007/BF02344686

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