Automatic evaluation of gastrointestinal motor activity through the analysis of bowel sounds

Shono, Koichi, Emoto, Takahiro, Okahisa, Toshiya, Abeyratne, Udantha R., Yano, Hiromi, Akutagawa ,Masatake, Konaka, Shinsuke and Kinouchi, Yohsuke (2013). Automatic evaluation of gastrointestinal motor activity through the analysis of bowel sounds. In: A.R. Boccaccin, Proceedings of the IASTED International Conference on Biomedical Engineering (BioMed 2013). 10th IASTED International Conference on Biomedical Engineering, BioMed 2013, Innsbruck, Austria, (136-140). 13-15 February 2013. doi:10.2316/P.2013.791-069

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Author Shono, Koichi
Emoto, Takahiro
Okahisa, Toshiya
Abeyratne, Udantha R.
Yano, Hiromi
Akutagawa ,Masatake
Konaka, Shinsuke
Kinouchi, Yohsuke
Title of paper Automatic evaluation of gastrointestinal motor activity through the analysis of bowel sounds
Conference name 10th IASTED International Conference on Biomedical Engineering, BioMed 2013
Conference location Innsbruck, Austria
Conference dates 13-15 February 2013
Proceedings title Proceedings of the IASTED International Conference on Biomedical Engineering (BioMed 2013)
Place of Publication Anaheim, CA, United States
Publisher ACTA Press
Publication Year 2013
Year available 2013
Sub-type Fully published paper
DOI 10.2316/P.2013.791-069
Open Access Status
ISBN 9780889869530
Editor A.R. Boccaccin
Start page 136
End page 140
Total pages 5
Collection year 2014
Language eng
Formatted Abstract/Summary
 Approximately 10%–20% of people have Irritable Bowel Syndrome (IBS) worldwide. It is well known that IBS is associated with altered motility of the intestine. Currently, the diagnosis of IBS is made through expensive invasive radiographic and endoscopic examinations. The bowel sounds (BSs) are produced by the propelled-air during peristalsis, and can be easily recorded using non-invasive and low-cost equipment. In this study we propose a novel autoregressive moving average (ARMA)-based method to automatically detect BSs, and we use the measure, BS duration (BSD), to capture gastrointestinal motor activity. The performance of the proposed method is investigated and evaluated via computer simulations. Working on healthy volunteers during mosapride administrations, we show that the proposed method for automatic detection could achieve a sensitivity of 83.4%, specificity of 93.3% and accuracy of 91.2%. Moreover, we show that the measure BSD can conveniently capture gastrointestinal motor activity. Our findings should have the potential to contribute towards developing bowel-sound based diagnosis of IBS.
Keyword Automatic detection and Bowel activity
Bowel sounds
Q-Index Code E1
Q-Index Status Confirmed Code
Institutional Status UQ

 
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Created: Thu, 28 Nov 2013, 19:38:56 EST by System User on behalf of School of Information Technol and Elec Engineering