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Small intestinal model for electrically propelled capsule endoscopy

Overview of attention for article published in BioMedical Engineering OnLine, December 2011
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Title
Small intestinal model for electrically propelled capsule endoscopy
Published in
BioMedical Engineering OnLine, December 2011
DOI 10.1186/1475-925x-10-108
Pubmed ID
Authors

Sang Hyo Woo, Tae Wan Kim, Zia Mohy-Ud-Din, Il Yong Park, Jin-Ho Cho

Abstract

The aim of this research is to propose a small intestine model for electrically propelled capsule endoscopy. The electrical stimulus can cause contraction of the small intestine and propel the capsule along the lumen. The proposed model considered the drag and friction from the small intestine using a thin walled model and Stokes' drag equation. Further, contraction force from the small intestine was modeled by using regression analysis. From the proposed model, the acceleration and velocity of various exterior shapes of capsule were calculated, and two exterior shapes of capsules were proposed based on the internal volume of the capsules. The proposed capsules were fabricated and animal experiments were conducted. One of the proposed capsules showed an average (SD) velocity in forward direction of 2.91 ± 0.99 mm/s and 2.23 ± 0.78 mm/s in the backward direction, which was 5.2 times faster than that obtained in previous research. The proposed model can predict locomotion of the capsule based on various exterior shapes of the capsule.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
United States 1 2%
China 1 2%
Unknown 49 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 19%
Student > Master 10 19%
Student > Doctoral Student 7 13%
Researcher 5 10%
Professor 4 8%
Other 8 15%
Unknown 8 15%
Readers by discipline Count As %
Engineering 33 63%
Medicine and Dentistry 4 8%
Chemical Engineering 1 2%
Agricultural and Biological Sciences 1 2%
Materials Science 1 2%
Other 1 2%
Unknown 11 21%