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

Taiki IIDA  Daisuke ANZAI  Jianqing WANG  

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)
body area network,  capsule endoscope,  location estimation,  genetic algorithm,  

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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.