Research Article
Performance Evaluation on Multiple Implantable Device Localization Based on Magnetic Fields
@INPROCEEDINGS{10.1007/978-3-032-38657-1_6, author={Riko Takano and Jaakko Hyry and Takumi Kobayashi and Daisuke Anzai}, title={Performance Evaluation on Multiple Implantable Device Localization Based on Magnetic Fields}, proceedings={Body Area Networks. 20th EAI International Conference, BodyNets 2025, Okayama, Japan, December 2--4, 2025, Proceedings}, proceedings_a={BODYNETS}, year={2026}, month={10}, keywords={Body area network (BAN) implantable devices magnetic field}, doi={10.1007/978-3-032-38657-1_6} }- Riko Takano
Jaakko Hyry
Takumi Kobayashi
Daisuke Anzai
Year: 2026
Performance Evaluation on Multiple Implantable Device Localization Based on Magnetic Fields
BODYNETS
Springer
DOI: 10.1007/978-3-032-38657-1_6
Abstract
In recent years, technologies for acquiring and controlling information inside the body through implantable devices have gained significant attention and are expected to find applications in the medical and healthcare fields. To realize such technology, it is essential to accurately determine the spatial position of the implant in real time. In this study, we propose a position estimation method that utilizes the time-varying magnetic field generated by the implant during transmission. Given that the human body has a specific magnetic permeability of approximately 1, interference from magnetic fields is minimal. We measure the magnetic fields using multiple sensors placed outside the body and estimate the implant’s position based on the distribution of these magnetic fields. For position estimation, we employ magnetic field distribution data acquired in air as training data, employing a position fingerprinting method that compares these values with real-time measurements. To address situations where multiple implants are present simultaneously, we introduce CDMA communication technology and applied direct spread modulation using different M-sequences for the transmission signals. Simulation results indicate that the root mean square error (RMSE) of the position estimation is as low as 2.9 mm, even with two transmitters operating at the same time, which demonstrates the effectiveness of the proposed method.