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Multipoint Simultaneous Tracking of Wireless Capsule Endoscope Using Magnetic Sensor Array

  • Min Wang
  • , Shuang Song*
  • , Jun Liu*
  • , Max Q.-H. Meng
  • *Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

Magnetic tracking has been well studied for localization of wireless capsule robots. However, most of the existing magnetic localization systems require a stable background magnetic field, which is not suitable for wearable applications as the movement of human body inevitably changes the magnetic field to each sensor. The purpose of this study is to reduce the disturbance of the ambient magnetic field for localizations in different background scenarios. The proposed approach applies the magnetic density of multiple sampling points for simultaneous localization. By subtraction the magnetic field value in different positions the background noise (BGN) field can be offset. As a result, multi-point simultaneous positioning can be achieved by using optimization algorithm. The influence of signal-to-noise ratio on localization accuracy has been determined through simulation analysis. Experiments first verified the feasibility of multi-point simultaneous positioning and then conducted in different geomagnetic noise and permanent magnet environments. The results show that proposed method has been verified to be robust in different background noise environments. The proposed method is expected to be used in wearable systems for tracking magnetic capsule endoscope (MCE).
Original languageEnglish
Article number7502510
JournalIEEE Transactions on Instrumentation and Measurement
Volume70
Online published26 Apr 2021
DOIs
Publication statusPublished - 2021

Research Keywords

  • capsule endoscope
  • Endoscopes
  • Location awareness
  • Magnetic resonance imaging
  • magnetic tracking
  • multipoint localization
  • Noise measurement
  • Robot sensing systems
  • Robots
  • Sensor arrays

RGC Funding Information

  • RGC-funded

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