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Artifact reduction in electrogastrogram based on empirical mode decomposition method.

H Liang·Z Lin·R W McCallum
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Abstract

Severe contamination of the gastric signal in electrogastrogram (EGG) analysis 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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ArtifactsElectrodiagnosisHumansSignal Processing, Computer-AssistedStomachStomach DiseasesJournal Article

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BibTeXRIS

H Liang, Z Lin, R W McCallum. 2000. Artifact reduction in electrogastrogram based on empirical mode decomposition method.. https://doi.org/10.1007/bf02344686

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