期刊
MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING
卷 38, 期 1, 页码 35-41出版社
SPRINGER HEIDELBERG
DOI: 10.1007/BF02344686
关键词
electrogastrogram; empirical mode decomposition; artifact reduction; Hilbert transform; nonstationary
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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