• DocumentCode
    3592990
  • Title

    Combined methods for recovery of gastric slow waves from multichannel electrogastrograms

  • Author

    Lin, Zhiyue ; Liang, Hualou ; McCallum, Richard W

  • Author_Institution
    Det. of Med., Kansas Univ. Med. Center, Kansas City, KS, USA
  • Volume
    2
  • fYear
    2000
  • fDate
    6/22/1905 12:00:00 AM
  • Firstpage
    1345
  • Abstract
    The electrogastrogram (EGG), a cutaneous measurement of gastric electrical activity, is a mixture of gastric slow waves and noise. To detect the propagation of gastric slow waves, it is necessary to obtain multichannel gastric slow waves from multichannel EGGs. In this paper, a combined method for recovery of multichannel gastric signals is presented. This method consists of a novel blind source separation method and an adaptive noise canceller. The main advantage of the proposed method is that no prior knowledge on the structure of sources is needed. The results from both computer simulations and real EGG data demonstrate the combined method is able to recover gastric slow waves from each of multichannel EGGs. Therefore, the proposed method can be used to detect propagation of gastric slow waves from multichannel EGGs
  • Keywords
    adaptive signal processing; bioelectric potentials; medical signal detection; medical signal processing; skin; EGG; adaptive noise canceller; blind source separation method; combined methods; computer simulations; cutaneous measurement; gastric electrical activity; gastric slow waves; multichannel electrogastrograms; noise; real EGG data; recovery; Blind source separation; Computer simulation; Electric variables measurement; Electrocardiography; Frequency; Humans; Independent component analysis; Noise cancellation; Source separation; Stomach;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2000. Proceedings of the 22nd Annual International Conference of the IEEE
  • ISSN
    1094-687X
  • Print_ISBN
    0-7803-6465-1
  • Type

    conf

  • DOI
    10.1109/IEMBS.2000.897987
  • Filename
    897987