Adaptive method for cancellation of respiratory artefact in electrogastric measurements

Jiande Chen, J. Vandewalle, W. Sansen, G. Vantrappen, J. Janssens

Research output: Contribution to journalArticlepeer-review

57 Scopus citations


Electrogastic measurements are useful for medical research and in clinical diagnosis. The measurements, however, contain very heavy respiratory artefact. Existing conventional frequency-domain filters cannot be used because of the possible overlap of the frequencies of the gastric signals and respiratory artefact. In the paper, the methods of measuring cutaneous and intraluminal gastric signals and reference respiratory signals are described. An adaptive cancellation technique is developed, which is simple and easy to implement for online processing. It is proved by experiments to be very efficient, i.e. the respiratory artefact can be completely cancelled, while the gastric signal component is not affected. Other possible applications in biomedical signal analysis are also discussed.

Original languageEnglish (US)
Pages (from-to)57-63
Number of pages7
JournalMedical & Biological Engineering & Computing
Issue number1
StatePublished - Jan 1989
Externally publishedYes


  • Adaptive filter
  • Electrogastrography
  • Noise cancellation
  • Respiratory artefact

ASJC Scopus subject areas

  • Biomedical Engineering
  • Computer Science Applications


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