Skip to main content

Detection of Bladder Filling with Open T-type Electrode Array

  • Conference paper
  • First Online:
The proceedings of the 10th Frontier Academic Forum of Electrical Engineering (FAFEE2022) (FAFEE 2022)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 1048))

Included in the following conference series:

  • 401 Accesses

Abstract

Compared with the simulation results of semi-circular and planar rectangular electrode arrays, the bladder filling detection effect of T-type electrode array was studied, and the volume before and after filling was estimated. The bladder model was constructed by COMSOL software, and the voltage simulation was carried out by using adjacent excitation modes. The voltage sensitivity δ and the voltage dynamic range ΔU were calculated, and the detection effect under each array was compared. In the MATLAB environment, three reconstruction algorithms are used for image reconstruction. On the basis of the reconstructed image, interpolation and isosurface extraction methods are used for three-dimensional reconstruction. In the adjacent excitation mode, the detection effect of T-type array is better than that of semicircular and rectangular array; under the two volume positions, the reconstructed image structure similarity is 0.8932 and 0.9094, the correlation coefficient is 0.7196 and 0.7754, and the mean square error is 58.2524 and 33.2243. From the three-dimensional reconstruction results, the reconstructed volumes were 22.4 ml and 343.5 ml, respectively, and the relative errors with the theoretical values were 10.9% and 7.1%. Compared with semicircular and planar arrays, T-shaped array has better detection effect in bladder filling detection. The three-dimensional reconstruction based on the two-dimensional imaging of this array can provide the spatial position and volume size information before and after the change of bladder volume.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 349.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 449.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Schlebusch, T., Nienke,S., Santo, S.A., et al.: Bladder volume estimation from electrical impedance tomography. In: 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Osaka, Japan, pp. 6441–6444. IEEE (2013)

    Google Scholar 

  2. Lin, Z., Cheng, Q., Xi, X., et al.: Target localization based on open electrical impedance tomography. J. Xi’an Univ. Posts Telecommun. (2016)

    Google Scholar 

  3. He, C.H., He, W., Zhang, L., et al.: Research on Method of Improving detection depth of open electrical impedance tomography. J. Syst. Simul. 23(09), 1990–1994 (2011). (in Chinese)

    Google Scholar 

  4. Fan, W., Hao, K., Xu, Y.: Research on excitation strategy of open electrical impedance imaging. Chin. J. Sci. Instrum. 35(06), 1269–1275 (2014). (in Chinese)

    Google Scholar 

  5. Schlebusch, T., Leonhardt, S.: Effect of electrode arrangements on bladder volume estimation by electrical impedance tomography. In: Journal of Physics: Conference Series, vol. 434, no. 1 (2013)

    Google Scholar 

  6. Liang, X., Xu, L., Tian, W., et al.: Effect of stimulation patterns on bladder volume measurement based on fringe effect of EIT sensors. In: 2019 IEEE International Conference on Imaging Systems and Techniques (IST), Abu Dhabi, United Arab Emirates, pp. 1–5. IEEE (2019)

    Google Scholar 

  7. Deng, J., Ran, P., Mao, Y., et al.: Construction and simulation analysis of 3D model based on bladder. In: 2021 IEEE 9th International Conference on Bioinformatics and Computational Biology (ICBCB), Taiyuan, China, pp. 77–82. IEEE (2021)

    Google Scholar 

  8. He, C.: Principle and technology of open electrical impedance imaging. Chongqing University, Chongqing (2009). (in Chinese)

    Google Scholar 

  9. Foster, K.R., Lukaski, H.C.: Whole-body impedance - what does it measure. Am. J. Clin. Nutr. 64(3 Suppl.), 388S-396S (1996)

    Article  Google Scholar 

  10. Mearini,L., Nunzi, E., Zingaro, M.D.: Neoplastic and Nonneoplastic Disease of the Bladder. Springer, Cham (2017)

    Google Scholar 

  11. Yang, M.: Study on electromagnetic wave propagation characteristics of human abdomen. Nanjing University of Posts and Telecommunications, Nanjing (2017). (in Chinese)

    Google Scholar 

  12. Zheng, H.: Image reconstruction and simulation of electrical impedance imaging. Yangtze River Inf. Commun. 34(07), 18–20 (2021). (in Chinese)

    Google Scholar 

  13. Li, H., Xu, C., Liu, B., et al.: Comparison of sparse weighted algorithm and GREIT algorithm in brain electrical impedance imaging. China Med. Equipment 31(11), 23–27 (2016). (in Chinese)

    Google Scholar 

  14. Xue, H., Chao, W., Zhun, L.: Simulation of EIT based on conjugate gradient algorithm. J. Changchun Univ. Sci. Technol. (Nat. Sci. Ed.) 35(04), 167–170 (2012). (in Chinese)

    Google Scholar 

  15. Li, Z., Liu, Z., Ran, P., et al.: Construction and simulation of three-layer EIT model in gastric region. Chin. J. Biomed. Eng. 38(05), 590–598 (2019). (in Chinese)

    Google Scholar 

  16. Fan, W.: Research on bioelectrical impedance imaging. Tianjin University, Tianjin (2010). (in Chinese)

    Google Scholar 

  17. Wang, Q., Chen, X., Wang, J., et al.: Chest electrical impedance imaging based on human body structure prior information. Chin. J. Biomed. Eng. 38(01), 35–43 (2019). (in Chinese)

    Google Scholar 

  18. Zuo, C., Li, J.: Research on electrical impedance imaging technology based on hybrid total variation regularization algorithm. Sensor Microsyst. 40(11), 40–43+46 (2021). (in Chinese)

    Google Scholar 

  19. Chen, X.Y., Chu, M.L., Chang, X.M., et al.: Construction of three-dimensional EIT model and image reconstruction of lung. Chin. J. Biomed. Eng. 36(05), 622–626 (2017). (in Chinese)

    Google Scholar 

  20. Wang, Z., Bovik, A.C., Sheikh, H.R., et al.: Image quality assessment: from error visibility to structural similarity. IEEE Trans. Image Process. 13(4), 600–612 (2004)

    Article  Google Scholar 

  21. Deng, J., Chen, S.H., Sha, H., et al.: Study on the influence of different EIT image reconstruction algorithms on signal-to-noise ratio and evaluation. Chin. J. Biomed. Eng. 31(06), 807–815 (2012). (in Chinese)

    Google Scholar 

Download references

Acknowledgements

This work was funded by Study Chongqing Science and Technology Bureau, Provincial level, 2021.10.01-2024.09.30 (project name: Study on esophageal dynamic characteristics based on impedancy-mechanical characteristics, project number: cstc2021jcyj-msxmX0864).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Yalan Mao .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2023 Beijing Paike Culture Commu. Co., Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Ran, P., Li, M., Mao, Y., Zhang, K., Shao, K. (2023). Detection of Bladder Filling with Open T-type Electrode Array. In: Yang, Q., Dong, X., Ma, W. (eds) The proceedings of the 10th Frontier Academic Forum of Electrical Engineering (FAFEE2022). FAFEE 2022. Lecture Notes in Electrical Engineering, vol 1048. Springer, Singapore. https://doi.org/10.1007/978-981-99-3404-1_48

Download citation

  • DOI: https://doi.org/10.1007/978-981-99-3404-1_48

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-3403-4

  • Online ISBN: 978-981-99-3404-1

  • eBook Packages: EnergyEnergy (R0)

Publish with us

Policies and ethics