• DocumentCode
    1051827
  • Title

    Detection of Small Bowel Slow-Wave Frequencies From Noninvasive Biomagnetic Measurements

  • Author

    Erickson, Jonathan C. ; Obioha, Chibuike ; Goodale, Adam ; Bradshaw, L. Alan ; Richards, William O.

  • Author_Institution
    Depts. of Phys. & Surg., Vanderbilt Univ., Nashville, TN, USA
  • Volume
    56
  • Issue
    9
  • fYear
    2009
  • Firstpage
    2181
  • Lastpage
    2189
  • Abstract
    We report a novel method for identifying the small intestine electrical activity slow-wave frequencies (SWFs) from noninvasive biomagnetic measurements. Superconducting quantum interference device magnetometer measurements are preprocessed to remove baseline drift and high-frequency noise. Subsequently, the underlying source signals are separated using the well-known second-order blind identification (SOBI) algorithm. A simple classification scheme identifies and assigns some of the SOBI components to a section of small bowel. SWFs were clearly identified in 10 out of 12 test subjects to within 0.09-0.25 cycles per minute. The method is sensitive at the 40.3 %-55.9% level, while false positive rates were 0%-8.6 %. This technique could potentially be used to help diagnose gastrointestinal ailments and obviate some exploratory surgeries.
  • Keywords
    SQUID magnetometers; bioelectric phenomena; biomagnetism; gastrointestinal ailments; magnetometer; noninvasive biomagnetic measurements; second order blind identification algorithm; small bowel slow wave frequencies; small intestine electrical activity; superconducting quantum interference device; Biomagnetics; Electric variables measurement; Frequency measurement; Interference; Intestines; Noise measurement; SQUID magnetometers; Signal processing; Superconducting device noise; Superconducting devices; Biomagnetics; SOBI; SQUID; slow wave; wavelet transforms; Algorithms; Animals; Electromagnetic Fields; Electrophysiological Phenomena; Gastrointestinal Motility; Intestine, Small; Signal Processing, Computer-Assisted; Swine;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/TBME.2009.2024087
  • Filename
    5061638