Publication detail

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

KOMOROWSKI, D. PIETRASZEK, S. TKACZ, E. PROVAZNÍK, I.

Original Title

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

Type

journal article in Web of Science

Language

English

Original 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.

Keywords

Electrogastrography; Electrogastrogram; Electrocardiographic derived respiration signal; Adaptive filters; QRS detection

Authors

KOMOROWSKI, D.; PIETRASZEK, S.; TKACZ, E.; PROVAZNÍK, I.

RIV year

2015

Released

23. 6. 2015

Publisher

Springer

ISBN

1475-925X

Periodical

BIOMED ENG ONLINE

Year of study

14

Number

60

State

United Kingdom of Great Britain and Northern Ireland

Pages from

1

Pages to

16

Pages count

16

URL

http://www.biomedical-engineering-online.com/content/14/1/60

Full text in the Digital Library

http://hdl.handle.net/11012/51766

BibTex

@article{BUT115041,
  author="Dariusz {Komorowski} and Stanislaw {Pietraszek} and Ewaryst {Tkacz} and Valentine {Provazník}",
  title="The extraction of the new components from electrogastrogram (EGG), using both adaptive filtering and electrocardiographic (ECG) derived respiration signal",
  journal="BIOMED ENG ONLINE",
  year="2015",
  volume="14",
  number="60",
  pages="1--16",
  doi="10.1186/s12938-015-0054-0",
  issn="1475-925X",
  url="http://www.biomedical-engineering-online.com/content/14/1/60"
}