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A Multimagnetometer Array and Inner IMU-Based Capsule Endoscope Positioning System

delete2022-11-01
delete6
PRE
AI
P
Peng Zhang
Y
Yan Xu
R
Ruizhi Chen
W
Weiguo Dong *
Y
You Li
R
Rong Yu
M
Mingyue Dong
Z
Zhengru Liu
Y
Yuan Zhuang
J
Jian Kuang
DOI:10.1109/JIOT.2022.3176356delete
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Abstract

Abstract

En 中文
The wireless capsule endoscope (robot) has become more extensively used due to its comprehensive detection and patient-friendly experience. However, to provide better diagnostic information to medical staff, there is an urgent need for high-accuracy position information of capsule endoscopes during their working inside the human body. In this article, a capsule endoscopy positioning system using a magnetic sensor array is designed. It has two advantages. 1) Most of the existing magnetic positioning method needs to initialize the magnetic moment accurately, which is difficult to meet in practical applications. To solve this issue, this article proposes a method to determine the magnetic moment direction based on an inertial measurement unit. The proposed method can accurately estimate the direction of the magnetic moment even when the roll angle is singular. 2) This article proposes a nonlinear least-squares algorithm for capsule magnetic positioning based on the three-axis magnetometer observation. The algorithm is more robust than the Levenberg-Marquardt (LM) method that is widely used in capsule endoscopy positioning. Furthermore, its computation speed is over 100 times faster than the LM method, which successfully meets the real-time requirements. In this research, a three-axis mechanical platform and a six-axis robot arm are used to build a capsule magnetic positioning evaluation system. Preliminary results show the accuracy (RMS) of the proposed capsule endoscope positioning algorithm was better than 6 mm.
Keywords:
Endoscopes
Magnetometers
Sensor arrays
Wireless sensor networks
Wireless communication
Magnetic moments
Magnetic sensors
Magnet
orientation estimation
positioning
wireless capsule endoscope

Journal

IEEE Internet of Things Journal cover
IEEE Internet of Things Journal
IF:
8.9
Papers:
1.4W
Citations:
7.8W

Organization

W
wuhan university
Scholars:
8.1W
Papers: 5.8W
Citations: 70
Cited Papers

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