Medical and Biological Engineering and Computing

, Volume 38, Issue 1, pp 35–41

Artifact reduction in electrogastrogram based on empirical mode decomposition method


DOI: 10.1007/BF02344686

Cite this article as:
Liang, H., Lin, Z. & McCallum, R.W. Med. Biol. Eng. Comput. (2000) 38: 35. doi:10.1007/BF02344686


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.


ElectrogastrogramEmpirical mode decompositionArtifact reductionHilbert transformNonstationary

Copyright information

© IFMBE 2000

Authors and Affiliations

  1. 1.Center for Complex Systems & Brain SciencesFlorida Atlantic UniversityBoca RatonUSA
  2. 2.Department of MedicineUniversity of Kansas Medical CenterKansas CityUSA