Application of curve fitting in electromagnetic tracking of electronically controlled rotating magnetic field
Conference: BIBE 2018 - International Conference on Biological Information and Biomedical Engineering
06/06/2018 - 06/08/2018 at Shanghai, China
Proceedings: BIBE 2018
Pages: 7Language: englishTyp: PDF
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Authors:
Sheng, Chang; Huang, Xingman (Department of Electronic Engineering, Fudan University, Shanghai, 200433, China)
Wu, Xiaomei (Department of Electronic Engineering, Fudan University, Shanghai, 200433, China & Key Laboratory of Medical Imaging Computing and Computer Assisted Intervention (MICCAI) of Shanghai, Fudan University, Shanghai, China & Shanghai Engineering Research Center of Assistive Devices, Shanghai, 200093, China)
Abstract:
Electromagnetic tracking utilizes the distribution of an electromagnetic field to detect and track a target’s position and attitude in real time. In the electromagnetic tracking system based on the rotating magnetic field, it is necessary to find the maximum magnetic induction intensity in a set of data collected using a magnetic sensor. We can determine the relative position between the magnetic sensor and magnetic field source by utilizing the rotation angles that correspond to the maximum induction intensity. Because of the step size and the ambient noise interference, the positioning accuracy decreases if we find the maximum value directly. In this paper, we propose a high-order polynomial fitting algorithm based on the least-squares method to process the collected discrete data. This technique yields better fitting results even when the data volume is low. The simulation and experimental results demonstrate that the proposed method has good performance on resisting step size noise and ambient noise, and thus improves the positioning accuracy and speed of the system.