The extraction of the new components from electrogastrogram (EGG), using both adaptive filtering and electrocardiographic (ECG) derived respiration signal

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dc.contributor.authorKomorowski, Dariuszcs
dc.contributor.authorPietraszek, Stanislawcs
dc.contributor.authorTkacz, Ewarystcs
dc.contributor.authorProvazník, Valentýnacs
dc.coverage.issue60cs
dc.coverage.volume14cs
dc.date.issued2015-06-23cs
dc.description.abstractElectrogastrographic 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.en
dc.description.abstractElectrogastrographic 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.cs
dc.formattextcs
dc.format.extent1-16cs
dc.format.mimetypeapplication/pdfcs
dc.identifier.citationBIOMED ENG ONLINE. 2015, vol. 14, issue 60, p. 1-16.en
dc.identifier.doi10.1186/s12938-015-0054-0cs
dc.identifier.issn1475-925Xcs
dc.identifier.orcid0000-0002-3422-7938cs
dc.identifier.other115041cs
dc.identifier.researcheridF-4121-2012cs
dc.identifier.scopus6701729526cs
dc.identifier.urihttp://hdl.handle.net/11012/51766
dc.language.isoencs
dc.publisherSpringercs
dc.relation.ispartofBIOMED ENG ONLINEcs
dc.relation.urihttp://www.biomedical-engineering-online.com/content/14/1/60cs
dc.rightsCreative Commons Attribution 4.0 Internationalcs
dc.rights.accessopenAccesscs
dc.rights.sherpahttp://www.sherpa.ac.uk/romeo/issn/1475-925X/cs
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/cs
dc.subjectElectrogastrographyen
dc.subjectElectrogastrogramen
dc.subjectElectrocardiographic derived respiration signalen
dc.subjectAdaptive filtersen
dc.subjectQRS detectionen
dc.subjectElectrogastrography
dc.subjectElectrogastrogram
dc.subjectElectrocardiographic derived respiration signal
dc.subjectAdaptive filters
dc.subjectQRS detection
dc.titleThe extraction of the new components from electrogastrogram (EGG), using both adaptive filtering and electrocardiographic (ECG) derived respiration signalen
dc.title.alternativeThe extraction of the new components from electrogastrogram (EGG), using both adaptive filtering and electrocardiographic (ECG) derived respiration signalcs
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
sync.item.dbidVAV-115041en
sync.item.dbtypeVAVen
sync.item.insts2025.02.03 15:40:02en
sync.item.modts2025.01.17 15:23:01en
thesis.grantorVysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií. Ústav biomedicínského inženýrstvícs
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