An adaptive localization technique for wireless capsule endoscopy

Hamed Farhadi, Javid Atai, Mikael Skoglund, Esmaeil S. Nadimi, Kaveh Pahlavan, Vahid Tarokh

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

Wireless capsule endoscopy (WCE) is an emerging technique to enhance Gastroenterologists information about the patient's gastrointestinal (G.I.) tract. Localization of capsule inside human body in this case is an active area of research. This can be thought of as a sub-domain of micro and bio-robotics fields. If capsule and micro-robot localization problem in human body is solved, then it may potentially lead to less invasive treatments for G.I. diseases and other micro-robot assisted medical procedures. Several approaches have been investigated by the researchers to estimate capsule location. The proposed solutions are mainly static and thus prone to the changes in the propagation medium. We propose an adaptive algorithm based on expectation maximization technique for capsule localization. The proposed algorithm adaptively updates the estimated location based on the received radio frequency (RF) signal measurements.

Original languageEnglish
Title of host publicationProceeding of the 10th International Symposium on Medical Information and Communication Technology
PublisherIEEE Press
Publication date2016
Pages1-5
ISBN (Electronic)978-1-5090-2849-8
DOIs
Publication statusPublished - 2016
Event10th International Symposium on Medical Information and Communication Technology - Worcester, MA, United States
Duration: 20. Mar 201623. Mar 2016

Conference

Conference10th International Symposium on Medical Information and Communication Technology
Country/TerritoryUnited States
CityWorcester, MA
Period20/03/201623/03/2016

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