Empirical mode decomposition for automatic artifact elimination in electrogastrogram

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.