title: The extraction of the new components from electrogastrogram (EGG), using both adaptive filtering and electrocardiographic (ECG) derived respiration signal.
abstract: Electrogastrographic examination (EGG) is a noninvasive method for an investigation of a stomach slow wave propagation. The typical range of frequency for EGG signal is from 0.015 to 0.15 Hz or (0.015-0.3 Hz) and the signal usually is captured with sampling frequency not exceeding 4 Hz. In this paper a new approach of method for recording the EGG signals with high sampling frequency (200 Hz) is proposed. High sampling frequency allows collection of signal, which includes not only EGG component but also signal from other organs of the digestive system such as the duodenum, colon as well as signal connected with respiratory movements and finally electrocardiographic signal (ECG). The presented method allows improve the quality of analysis of EGG signals by better suppress respiratory disturbance and extract new components from high sampling electrogastrographic signals (HSEGG) obtained from abdomen surface. The source of the required new signal components can be inner organs such as the duodenum and colon. One of the main problems that appear during analysis the EGG signals and extracting signal components from inner organs is how to suppress the respiratory components. In this work an adaptive filtering method that requires a reference signal is proposed. In the present research, the respiratory component is obtained from non standard ECG (NSECG) signal. For purposes of this paper non standard ECG (namely NSECG) is used, because ECG signal was recorded by other than the standard electrodes placement on the surface of the abdomen. The electrocardiographic derived respiration signal (EDR) is extracted using the phenomena of QRS complexes amplitude modulation by respiratory movements. The main idea of extracting the EDR signal from electrocardiographic signal is to obtain the modulating signal. Adaptive filtering is done in the discrete cosine transform domain. Next the resampled HSEGG signal with attenuated respiratory components is low pass filtered and as a result the extended electrogastrographic signals, included EGG signal and components from other inner organs of digestive system is obtained. One of additional features of the proposed method is a possibility to obtain simultaneously recorded signals, such as: non-standard derivation of ECG, heart rate variability signal, respiratory signal, and EGG signal that allow investigating mutual interferences among internal human systems.
authors.affiliation: Department of Biosensors and Biomedical Signals Processing, Faculty of Biomedical Engineering, Silesian University of Technology, 40 Roosevelt'a Street, 44-800, Zabrze, Poland. dariusz.komorowski@polsl.pl.
authors.forename: Dariusz
authors.initials: D
authors.lastname: Komorowski
authors.affiliation: Division of Biomedical Electronics, Institute of Electronics, Silesian University of Technology, 16 Akademicka Street, 44-100, Gliwice, Poland. stanislaw.pietraszek@polsl.pl.
authors.forename: Stanislaw
authors.initials: S
authors.lastname: Pietraszek
authors.affiliation: Department of Biosensors and Biomedical Signals Processing, Faculty of Biomedical Engineering, Silesian University of Technology, 40 Roosevelt'a Street, 44-800, Zabrze, Poland. ewaryst.tkacz@polsl.pl.|Department of Biomedical Engineering, Brno University of Technology, 12 Technicka Street, 61200, Brno, Czech Republic. ewaryst.tkacz@polsl.pl.
authors.forename: Ewaryst
authors.initials: E
authors.lastname: Tkacz
authors.affiliation: Department of Biomedical Engineering, Brno University of Technology, 12 Technicka Street, 61200, Brno, Czech Republic. provaznik@feec.vutbr.cz.|International Clinical Research Center, Center of Biomedical Engineering, St. Anne's University Hospital Brno, Brno, Czech Republic. provaznik@feec.vutbr.cz.
authors.forename: Ivo
authors.initials: I
authors.lastname: Provaznik
mesh_terms: D000465:Algorithms; D004562:Electrocardiography; D004566:Electrodes; D006339:Heart Rate; D006801:Humans; D015203:Reproducibility of Results; D012119:Respiration; D012815:Signal Processing, Computer-Assisted