Detail publikace

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.

Originální název

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

Typ

článek v časopise ve Web of Science, Jimp

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

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

Autoři

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

Rok RIV

2015

Vydáno

23. 6. 2015

Nakladatel

Springer

ISSN

1475-925X

Periodikum

BIOMED ENG ONLINE

Ročník

14

Číslo

60

Stát

Spojené království Velké Británie a Severního Irska

Strany od

1

Strany do

16

Strany počet

16

URL

Plný text v Digitální knihovně

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"
}