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
Link To Document :
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