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Application of discrete cosine transform for pre-filtering signals in electrogastrography

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

Electrogastrography (EGG) is the technique of the cutaneous recording of the myoelectrical activity of the stomach. Due to its noninvasiveness and correlation with the gastric motility it is the attractive complement for imaging stomach’s diagnostic methods. As the EGG signal is the mixture of the electrical activity of the stomach and surrounding organs so the raw EGG also contains the noise, the electrocardiographic (ECG), and the respiration (RESP) signals. The aim of this paper is to present the effective tool for pre-filtering EGG signal. The filtering in the Cosine Discrete Transform (DCT) domain has been proposed as an efficient tool for denoising EGG signal. The obtained results are compared with the outcomes determined by means of the traditional digital (Butterworth, in this case) filtering method.

Original languageEnglish
Title of host publicationInnovations in Biomedical Engineering
EditorsMarek Gzik, Zbigniew Paszenda, Ewaryst Tkacz, Ewa Pietka
PublisherSpringer Verlag
Pages125-132
Number of pages8
ISBN (Print)9783319700625
DOIs
Publication statusPublished - 2018
EventConference on Innovations in Biomedical Engineering, IBE 2017 - Zabrze, Poland
Duration: 19 Oct 201720 Oct 2017

Publication series

NameAdvances in Intelligent Systems and Computing
Volume623
ISSN (Print)2194-5357

Conference

ConferenceConference on Innovations in Biomedical Engineering, IBE 2017
Country/TerritoryPoland
CityZabrze
Period19/10/1720/10/17

Keywords

  • Discrete Cosine Transform (DCT)
  • EGG
  • Filtering

ASJC Scopus subject areas

  • Control and Systems Engineering
  • General Computer Science

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