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Wireless capsule gastrointestinal endoscopy: direction of arrival estimation based localization survey

Dey, N., Ashour, A. S., Shi, F. and Sherratt, R. S. ORCID: https://orcid.org/0000-0001-7899-4445 (2017) Wireless capsule gastrointestinal endoscopy: direction of arrival estimation based localization survey. IEEE Reviews in Biomedical Engineering, 10 (1). pp. 2-11. ISSN 1941-1189

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To link to this item DOI: 10.1109/RBME.2017.2697950

Abstract/Summary

One of the significant challenges in Capsule Endoscopy (CE) is to precisely determine the pathologies location. The localization process is primarily estimated using the received signal strength from sensors in the capsule system through its movement in the gastrointestinal (GI) tract. Consequently, the wireless capsule endoscope (WCE) system requires improvement to handle the lack of the capsule instantaneous localization information and to solve the relatively low transmission data rate challenges. Furthermore, the association between the capsule’s transmitter position, capsule location, signal reduction and the capsule direction should be assessed. These measurements deliver significant information for the instantaneous capsule localization systems based on TOA (time of arrival) approach, PDOA (phase difference of arrival), RSS (received signal strength), electromagnetic, DOA (direction of arrival) and video tracking approaches are developed to locate the WCE precisely. The current article introduces the acquisition concept of the GI medical images using the endoscopy with a comprehensive description of the endoscopy system components. Capsule localization and tracking are considered to be the most important features of the WCE system, thus the current article emphasizes the most common localization systems generally, highlighting the DOA-based localization systems and discusses the required significant research challenges to be addressed.

Item Type:Article
Refereed:Yes
Divisions:Life Sciences > School of Biological Sciences > Biomedical Sciences
Life Sciences > School of Biological Sciences > Department of Bio-Engineering
ID Code:70155
Publisher:IEEE

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