Blind separation of slow waves and spikes from gastrointestinal myoelectrical recordings

Zhishun Wang, J. D.Z. Chen

Research output: Contribution to journalArticlepeer-review

26 Scopus citations


Myoelectrical recordings of the gut contains slow waves (slow rhythmicity) and spikes (fast rhythmicity). While the slow wave determines the frequency and propagation of gastrointestinal contractions, spike activities are directly associated with the contractions. Traditionally, spikes are extracted from the myoelectrical recording using high-pass/bandpass filters. Due to sharp rising edge (high-frequency component) of the slow wave, the conventional method is not accurate in the separation of the slow wave and spikes, although it has been used for years. In this paper, a novel and fast blind source separation algorithm was developed. Experimental results showed that the proposed method was able to accurately extract spike activities from the myoelectrical recordings obtained in dogs and that its performance was not affected by the high-frequency components of the slow wave.

Original languageEnglish (US)
Pages (from-to)133-137
Number of pages5
JournalIEEE Transactions on Information Technology in Biomedicine
Issue number2
StatePublished - Jun 2001
Externally publishedYes


  • Blind source separation
  • Electrogastrography
  • Gastric motility
  • Gastrointestinal myoelectrical activity
  • Intestinal motility
  • Spike detection

ASJC Scopus subject areas

  • Biotechnology
  • Computer Science Applications
  • Electrical and Electronic Engineering


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