Cargando…

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

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 pape...

Descripción completa

Detalles Bibliográficos
Autores principales: Komorowski, Dariusz, Pietraszek, Stanislaw, Tkacz, Ewaryst, Provaznik, Ivo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4477495/
https://www.ncbi.nlm.nih.gov/pubmed/26099312
http://dx.doi.org/10.1186/s12938-015-0054-0
_version_ 1782377772754141184
author Komorowski, Dariusz
Pietraszek, Stanislaw
Tkacz, Ewaryst
Provaznik, Ivo
author_facet Komorowski, Dariusz
Pietraszek, Stanislaw
Tkacz, Ewaryst
Provaznik, Ivo
author_sort Komorowski, Dariusz
collection PubMed
description 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.
format Online
Article
Text
id pubmed-4477495
institution National Center for Biotechnology Information
language English
publishDate 2015
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-44774952015-06-24 The extraction of the new components from electrogastrogram (EGG), using both adaptive filtering and electrocardiographic (ECG) derived respiration signal Komorowski, Dariusz Pietraszek, Stanislaw Tkacz, Ewaryst Provaznik, Ivo Biomed Eng Online Research 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. BioMed Central 2015-06-23 /pmc/articles/PMC4477495/ /pubmed/26099312 http://dx.doi.org/10.1186/s12938-015-0054-0 Text en © Komorowski et al. 2015 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Komorowski, Dariusz
Pietraszek, Stanislaw
Tkacz, Ewaryst
Provaznik, Ivo
The extraction of the new components from electrogastrogram (EGG), using both adaptive filtering and electrocardiographic (ECG) derived respiration signal
title The extraction of the new components from electrogastrogram (EGG), using both adaptive filtering and electrocardiographic (ECG) derived respiration signal
title_full The extraction of the new components from electrogastrogram (EGG), using both adaptive filtering and electrocardiographic (ECG) derived respiration signal
title_fullStr The extraction of the new components from electrogastrogram (EGG), using both adaptive filtering and electrocardiographic (ECG) derived respiration signal
title_full_unstemmed The extraction of the new components from electrogastrogram (EGG), using both adaptive filtering and electrocardiographic (ECG) derived respiration signal
title_short The extraction of the new components from electrogastrogram (EGG), using both adaptive filtering and electrocardiographic (ECG) derived respiration signal
title_sort extraction of the new components from electrogastrogram (egg), using both adaptive filtering and electrocardiographic (ecg) derived respiration signal
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4477495/
https://www.ncbi.nlm.nih.gov/pubmed/26099312
http://dx.doi.org/10.1186/s12938-015-0054-0
work_keys_str_mv AT komorowskidariusz theextractionofthenewcomponentsfromelectrogastrogrameggusingbothadaptivefilteringandelectrocardiographicecgderivedrespirationsignal
AT pietraszekstanislaw theextractionofthenewcomponentsfromelectrogastrogrameggusingbothadaptivefilteringandelectrocardiographicecgderivedrespirationsignal
AT tkaczewaryst theextractionofthenewcomponentsfromelectrogastrogrameggusingbothadaptivefilteringandelectrocardiographicecgderivedrespirationsignal
AT provaznikivo theextractionofthenewcomponentsfromelectrogastrogrameggusingbothadaptivefilteringandelectrocardiographicecgderivedrespirationsignal
AT komorowskidariusz extractionofthenewcomponentsfromelectrogastrogrameggusingbothadaptivefilteringandelectrocardiographicecgderivedrespirationsignal
AT pietraszekstanislaw extractionofthenewcomponentsfromelectrogastrogrameggusingbothadaptivefilteringandelectrocardiographicecgderivedrespirationsignal
AT tkaczewaryst extractionofthenewcomponentsfromelectrogastrogrameggusingbothadaptivefilteringandelectrocardiographicecgderivedrespirationsignal
AT provaznikivo extractionofthenewcomponentsfromelectrogastrogrameggusingbothadaptivefilteringandelectrocardiographicecgderivedrespirationsignal