Performance Evaluation on GA-Based Localization for Wireless Capsule Endoscope Using Scattered Electric Fields

Taiki IIDA  Daisuke ANZAI  Jianqing WANG  

Publication
IEICE TRANSACTIONS on Communications   Vol.E99-B   No.3   pp.578-585
Publication Date: 2016/03/01
Online ISSN: 1745-1345
DOI: 10.1587/transcom.2015MIP0002
Type of Manuscript: Special Section PAPER (Special Section on Information and Communication Technology for Healthcare and Medical Applications in Conjunction with Main Topics of ISMICT2015)
Category: 
Keyword: 
body area network,  capsule endoscope,  location estimation,  genetic algorithm,  

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Summary: 
To improve the performance of capsule endoscope, it is important to add location information to the image data obtained by the capsule endoscope. There is a disadvantage that a lot of existing localization techniques require to measure channel model parameters in advance. To avoid such a troublesome pre-measurement, this paper pays attention to capsule endoscope localization based on an electromagnetic imaging technology which can estimate not only the location but also the internal structure of a human body. However, the electromagnetic imaging with high resolution has huge computational complexity, which should prevent us from carrying out real-time localization. To ensure the accurate real-time localization system without pre-measured model parameters, we apply genetic algorithm (GA) into the electromagnetic imaging-based localization method. Furthermore, we evaluate the proposed GA-based method in terms of the simulation time and the location estimation accuracy compared to the conventional methods. In addition, we show that the proposed GA-based method can perform more accurately than the other conventional methods, and also, much less computational complexity of the proposed method can be accomplished than a greedy algorithm-based method.