Paper
21 August 2013 A new electromagnetic positioning method for tracking invaded medical devices using MARG sensors
Sen Wang, Xiao-dong Chen, Cheng-yang Du, Yi Wang, Dao-yin Yu
Author Affiliations +
Proceedings Volume 8908, International Symposium on Photoelectronic Detection and Imaging 2013: Imaging Sensors and Applications; 890802 (2013) https://doi.org/10.1117/12.2030413
Event: ISPDI 2013 - Fifth International Symposium on Photoelectronic Detection and Imaging, 2013, Beijing, China
Abstract
In clinical medicine, electromagnetic tracking (EMT) system, with its safely penetrating property for human tissue, has been an effective tracking and guiding method for invaded medical devices which are invisible inside a human body. However, traditional EMT system only implements magnetic methods to solve the complex 6-DOF equations and demands an ideal magnetic-field distribution model exited by electromagnetic coils or permanent magnet, resulting in poor anti-interference performance. This paper proposed a new method, combining EMT with the attitude convergence algorithm using MARG sensors. This fusion method reduces the information reliability on the external field, simplifies the complexity of magnetic analysis, and improves the robustness. Except for the accuracy testify experiment, we impose artificial interference to the DC voltage which excites external electromagnetic coils, and the tracking system could still maintain a high positioning stability.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Sen Wang, Xiao-dong Chen, Cheng-yang Du, Yi Wang, and Dao-yin Yu "A new electromagnetic positioning method for tracking invaded medical devices using MARG sensors", Proc. SPIE 8908, International Symposium on Photoelectronic Detection and Imaging 2013: Imaging Sensors and Applications, 890802 (21 August 2013); https://doi.org/10.1117/12.2030413
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KEYWORDS
Magnetism

Sensors

Electromagnetism

Gyroscopes

Medical devices

Magnetic sensors

Surgery

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