基于Levenberg-Marquardt方法和人工蜂群算法的无线胶囊内窥镜5D磁定位

Memduh Suveren, M. Kanaan
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引用次数: 6

摘要

在本研究中,磁定位过程采用WCE方法,这是近年来最受青睐的方法。为了使5D磁定位成为可能,采用两种不同的算法求解非线性数学偶极子方程;人工蜂群算法和Levenberg-Marquardt方法。在分别使用和混合使用两种算法的情况下,进行了性能比较,并研究了噪声对定位误差的影响。结果表明,在无噪声条件下,定位误差小于0.65 mm,定位误差小于0.8°;在有噪声条件下,平均定位误差为6.45 mm,角度误差为9%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
5D Magnetic Localization for Wireless Capsule Endoscopy Using the Levenberg-Marquardt Method and Artificial Bee Colony Algorithm
In this study, magnetic positioning process is performed by WCE method which is mostly preferred in recent years. In order to make 5D magnetic positioning possible, two different algorithms were used to solve nonlinear mathematical dipole equations; Artificial Bee Colony algorithm and Levenberg-Marquardt method. In case of using both algorithms separately and hybrid, performance comparison was made and the effect of noise on positioning error was investigated. As a result, we obtained a position error of less than 0.65 mm and orientation error of less than 0.8° in the absence of noise and in case of noise addition, we had an average position error of 6.45 mm and a 9% angle error.
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