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Adaptive Wireless Biomedical Capsule Tracking Based on Magnetic Sensing

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Abstract

This paper studies wireless biomedical capsule (WBC) tracking, for magnetic sensing and actuation settings, where an embedded permanent magnet is used inside a passive WBC together with magnetic sensors outside the human body, producing a magnetic field around the WBC. First, a 2D WBC localization scheme is developed based on only magnetic sensing and adaptive recursive least squares (RLS) on-line parameter estimation with forgetting factor. Next, we propose a hybrid localization technique for simultaneous position and orientation estimation with high accuracy. The proposed hybrid localization technique is based on data fusion of magnetic measurements and electromagnetic signals emitted by the WBC for image transmission and other medical information using a similar adaptive RLS parameter estimation scheme. Later, the proposed localization techniques are integrated with an adaptive tracking law to construct an adaptive capsule tracking controller. The simulations demonstrate promising results for the efficiency and accuracy level of the proposed adaptive localization and tracking control schemes.

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References

  1. M.R. Yuce and T. Dissanayake, Easy-to-swallow wireless telemetry, IEEE Microwave Magazine, Vol. 13, No. 6, pp. 90–101, 2012.

    Article  Google Scholar 

  2. I. Umay, B. Fidan and M.R. Yuce, Endoscopic capsule localization with unknown signal propagation coefficients, In: Proc. IEEE/RAS International Conference on Advanced Robotics, pp. 224–229, 2015.

  3. P. Valdastri, M. Simi and R.J. Webster III, Advanced technologies for gastrointestinal endoscopy, Annual Review of Biomedical Engineering, Vol. 14, pp. 397–429, 2012.

    Article  Google Scholar 

  4. T.D. Than, G. Alici, H. Zhou and W. Li, A review of localization systems for robotic endoscopic capsules, IEEE Tr. on Biomedical Engineering, Vol. 59, No. 9, pp. 2387–2399, 2012.

    Article  Google Scholar 

  5. C. Hu, M.Q. Meng, M. Mandal, Efficient linear algorithm for magnetic localization and orientation in capsule endoscopy, In: Proc. International Conference of the IEEE-EMBS on Engineering in Medicine and Biology Society, pp. 7143–7146, 2006.

  6. M. Salerno, et al., A discrete-time localization method for capsule endoscopy based on on-board magnetic sensing, Measurement Science and Technology, Vol. 23, No. 1, p. 015701, 2012.

    Article  Google Scholar 

  7. S. Hosseini and M.B. Khamesee, Design and control of a magnetically driven capsule robot for endoscopy and drug delivery, In: Proc. IEEE Toronto International Conference on Science and Technology for Humanity, pp. 697–702, 2009.

  8. Y. Yunxing, Bounds on RF cooperative localization for video capsule endoscopy, PhD thesis, Worcester Polytechnic Institue, 2013.

  9. C. Hu, M.Q. Meng and M. Mandal, Efficient magnetic localization and orientation technique for capsule endoscopy, In: Proc. IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 628–633, 2005.

  10. C. Hu, M.Q. Meng and M. Mandal, The calibration of 3-axis magnetic sensor array system for tracking wireless capsule endoscope, In: Proc. IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 162–167, 2006.

  11. X. Wang and M.Q. Meng, Perspective of active capsule endoscope: actuation and localisation, International Journal of Mechatronics and Automation, Vol. 1, No. 1, pp. 38–45, 2011.

    Article  Google Scholar 

  12. C. Hu, M.Q. Meng and M. Mandal, A linear algorithm for tracing magnet position and orientation by using three-axis magnetic sensors, IEEE Transactions on Magnetics, Vol. 43, No. 12, pp. 4096–4101, 2007.

    Article  Google Scholar 

  13. C. Hu, et al., A cubic 3-axis magnetic sensor array for wirelessly tracking magnet position and orientation, IEEE Sensors Journal, Vol. 10, No. 5, pp. 903–913, 2010.

    Article  Google Scholar 

  14. S. Hashi, S. Yabukami, H. Kanetaka, K. Ishiyama and K.I. Arai, Numerical study on the improvement of detection accuracy for a wireless motion capture system, IEEE Transactions on Magnetics, Vol. 45, No. 6, pp. 2736–2739, 2009.

    Article  Google Scholar 

  15. K. Yu, G. Fang and E. Dutkiewicz, Position and orientation accuracy analysis for wireless endoscope magnetic field based localization system design, In: Proc. IEEE Wireless Communications and Networking Conference, pp. 1–6, 2010.

  16. L. Liu, W. Liu, C. Hu and M.Q. Meng, Hybrid magnetic and vision localization technique of capsule endoscope for 3D recovery of pathological tissues, In: Proc. 9th World Congress on Intelligent Control and Automation (WCICA), pp. 1019–1023, 2011.

  17. B. Fidan and I. Umay, Adaptive environmental source localization and tracking with unknown permittivity and path loss coefficients, Sensors, Vol. 15, pp. 31125–31141, 2015.

    Article  Google Scholar 

  18. G. Bao, K. Pahlavan and L. Mi, Hybrid localization of microrobotic endoscopic capsule inside small intestine by data fusion of vision and rf sensors, IEEE Sensors Journal, Vol. 15, No. 5, pp. 2669–2678, 2015.

    Article  Google Scholar 

  19. H. Farhadi, J. Atai, M. Skoglund, E.S. Nadimi, K. Pahlavan and V. Tarokh, An adaptive localization technique for wireless capsule endoscopy, In: Proc. 10th International Symposium on Medical Information and Communication Technology (ISMICT), pp. 1–5, 2016.

  20. C. Di Natali, M. Beccani, N. Simaan and P. Valdastri, Jacobian-based iterative method for magnetic localization in robotic capsule endoscopy, IEEE Transactions on Robotics, Vol. 32, No. 2, pp. 327–338, 2016.

    Article  Google Scholar 

  21. W. Yang, C. Hu, M. Li, M.Q. Meng and S. Song, A new tracking system for three magnetic objectives, IEEE Transactions on Magnetics, Vol. 46, No. 12, pp. 4023–4029, 2010.

    Article  Google Scholar 

  22. M.G. Kim, Y.S. Hong and E.J. Lim, Position and orientation detection of capsule endoscopes in spiral motion, International Journal of Precision Engineering and Manufacturing, Vol. 11, No. 1, pp. 31–37, 2010.

    Article  Google Scholar 

  23. D. Son, S. Yim and M. Sitti, A 5-D localization method for a magnetically manipulated untethered robot using a 2-D array of Hall-effect sensors, IEEE/ASME Transactions on Mechatronics, Vol. 21, No. 2, pp. 708–716, 2016.

    Article  Google Scholar 

  24. C. Hu, M.Q. Meng and M. Mandal, Efficient magnetic localization and orientation technique for capsule endoscopy, In: Proc. IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 3365–3370, 2005.

  25. P.A. Ioannou and B. Fidan, Adaptive Control Tutorial, SIAM Society for Industrial and Applied Mathematics, 2006.

  26. B. Fidan, A. Camlica and S. Guler, Least-squares-based adaptive target localization by mobile distance measurement sensors, International Journal of Adaptive Control and Signal Processing, Vol. 29, No. 2, pp. 259–271, 2015.

    Article  MathSciNet  MATH  Google Scholar 

  27. B. Fidan, S. Dasgupta and B.D.O. Anderson, Adaptive range measurement based target pursuit, Int. J. Adapt. Control Signal Process, Vol. 27, pp. 66–81, 2013.

    Article  MathSciNet  MATH  Google Scholar 

  28. I. Umay and B. Fidan, Adaptive magnetic sensing based wireless capsule localization, In: Proc. 10th International Symposium on Medical Information and Communication Technology (ISMICT), pp. 1–5, 2016.

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Authors and Affiliations

  1. University of Waterloo, Waterloo, ON, N2L 3G1, Canada

    Ilknur Umay & Barış Fidan

Authors
  1. Ilknur Umay
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  2. Barış Fidan
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Correspondence to Barış Fidan.

Additional information

This paper is a refined and extended version of our conference paper [28]. This work is supported by the Canadian NSERC Discovery Grant 116806. The work of I. Umay is supported by a MEB (Turkish Ministry of National Education) scholarship.

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Umay, I., Fidan, B. Adaptive Wireless Biomedical Capsule Tracking Based on Magnetic Sensing. Int J Wireless Inf Networks 24, 189–199 (2017). https://doi.org/10.1007/s10776-017-0349-0

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  • DOI: https://doi.org/10.1007/s10776-017-0349-0

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