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EM Imaging-Based Capsule Endoscope Localization with Peak-Formed Incident Electric Fields

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13th EAI International Conference on Body Area Networks (BODYNETS 2018)

Abstract

Capsule endoscopy systems, which contribute to the early detection of cancer on the all digestive organs, suppress stress and pain for patients, compared with a typical wired endoscope since such an advanced treatment can be realized only by swallowing a small-sized capsule. In order to improve the treatment efficiency, it is important to acquire the accurate location information as well as the image data transmitted by a capsule endoscope. Several existing location estimation methods need preliminary measurement in order to obtain the internal structure of a human body. Therefore we aimed to an electromagnetic (EM) imaging method using scattered electromagnetic field, which doesn’t need preliminary measurement such as Computed Tomography (CT) or Magnetic Resonance Imaging (MRI).

In a conventional EM imaging method, a simple plane wave is irradiated toward the body, so that precious localization is difficult to be established at high frequency band as in 2.4 GHz. This chapter proposed an enhanced EM imaging method using peak-formed incident electric fields created by just overlaying multiple plane waves. Our proposed method enabled to obtain more information on scattered electric fields by sweeping the peak location, and we achieved the performance improvement of the location estimation as compared with the conventional EM imaging-based method.

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Acknowledgement

This research was supported by the MIC/SCOPE #185106002.

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Correspondence to Daisuke Anzai .

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Kobayashi, H., Anzai, D., Wang, J. (2020). EM Imaging-Based Capsule Endoscope Localization with Peak-Formed Incident Electric Fields. In: Sugimoto, C., Farhadi, H., Hämäläinen, M. (eds) 13th EAI International Conference on Body Area Networks . BODYNETS 2018. EAI/Springer Innovations in Communication and Computing. Springer, Cham. https://doi.org/10.1007/978-3-030-29897-5_35

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  • DOI: https://doi.org/10.1007/978-3-030-29897-5_35

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-29896-8

  • Online ISBN: 978-3-030-29897-5

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