Empirical mode decomposition for automatic artifact elimination in electrogastrogram

被引：1

作者：

Jovanovic, Nebojsa ^{[1
]}

Popovic, Nenad B. ^{[1
]}

Miljkovic, Nadica ^{[1
]}

机构：

[1] Univ Belgrade, Sch Elect Engn, Belgrade, Serbia

来源：

2021 20TH INTERNATIONAL SYMPOSIUM INFOTEH-JAHORINA (INFOTEH) | 2020年

关键词：

empirical mode decomposition EMD; electrogastrogram EGG; filtering; dominant frequency; digital biosignal processing; SLOW-WAVE PROPAGATION; UNEXPLAINED NAUSEA;

D O I：

10.1109/INFOTEH51037.2021.9400683

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

We propose a novel automatic procedure for noise cancellation from the electrical signal recorded from stomach smooth muscles - electrogastrogram (EGG). The presented method is based on the application of empirical mode decomposition (EMD) in the time domain for EGG fragmentation into intrinsic mode functions (IMFs) which is followed by application of criterion for automatic selection of noise-free IMFs. Then, the resulting noise-free EGG signal was composed of IMFs originating solely from EGG. The algorithm is tested on the semi-synthetic dataset generated from the recorded noise-free EGG signal and additive synthetic noise. Our results were presented in relation to signal-to-noise ration. We showed that EMD-based automatic method for noise cancellation is promising for EGG analysis and possibly applicable for analysis of signals with relatively narrow occupied bandwidth in the frequency domain.

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页数：6

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