skip to main content
10.1145/3578892.3578893acmotherconferencesArticle/Chapter ViewAbstractPublication PagesicbspConference Proceedingsconference-collections
research-article

Simulation and Experimental Study of Bladder Filling Degree based on a High-Fidelity 3D Model of The Lower Abdomen Built by CT Image

Published: 17 May 2023 Publication History

Abstract

In this work, the auxiliary bladder filling degree perception function is established for patients with impaired bladder sensory function to help patients improve their quality of life. This study intends to build a 3D finite element model of the lower abdomen of the human body by modeling CT images. The simulation experiments based on the three-dimensional finite element model aim to determine the placement of the double electrodes and to explore the effect of different signal frequencies on the sensitivity of bladder filling degree. The results of the simulation experiments were then verified by recording the changes in electrical impedance during the natural bladder filling process of one healthy volunteer after 550ml of water was drunk. The electrical impedance measured in the human experiments has a negative correlation with the bladder filling degree in time accumulation, which is consistent with the simulation experiments results. The results of this study verify the possibility of finding the best electrode placement point in the lower abdomen of the human body through simulation experiments and human experiments. And The sensitivity of measuring bladder filling degree is better at the frequency of 1-10Khz.

References

[1]
Noyori, S. S., Nakagami, G., & Sanada, H. (2021). Non-invasive Urine Volume Estimation in the Bladder by Electrical Impedance-Based Methods: A Review. Medical Engineering & Physics, 103748.
[2]
Molavi, B., Shadgan, B., Macnab, A. J., & Dumont, G. A. (2013). Noninvasive optical monitoring of bladder filling to capacity using a wireless near infrared spectroscopy device. IEEE transactions on biomedical circuits and systems, 8(3), 325-333.
[3]
O'Halloran, M., Morgan, F., Glavin, M., Jones, E., Conceio, R. C., & Byrne, D. (2013, April). Bladder-state monitoring using ultra wideband radar. In 2013 7th European Conference on Antennas and Propagation (EuCAP) (pp. 624-627). IEEE.
[4]
Denniston, J. C., & Baker, L. E. (1975). Measurement of urinary bladder emptying using electrical impedance. Medical & Biological Engineering, 13(2), 305-306.
[5]
Doyle, P. T., & Hill, D. W. (1975). The measurement of residual urine volume by electrical impedance in man. Medical & Biological Engineering, 13(2), 307-308.
[6]
Multiphysics; 2021. WEB. Available from: http://www.COMSOL.com/products/multiphysics/.
[7]
Fedorov, A., Beichel, R., Kalpathy-Cramer, J., Finet, J., Fillion-Robin, J. C., Pujol, S., ... & Kikinis, R. (2012). 3D Slicer as an image computing platform for the Quantitative Imaging Network. Magnetic resonance imaging, 30(9), 1323-1341.
[8]
Andreuccetti, D. (2012). An Internet resource for the calculation of the dielectric properties of body tissues in the frequency range 10 Hz-100 GHz. http://niremf. ifac. cnr. it/tissprop/.
[9]
P. A. Hasgall, “IT'IS database for thermal and electromagnetic parameters of biological tissues,” Version 4.0, May 15, 2018. [Online].Available: http://www.itis.ethz.ch/database/.
[10]
Li, R., Gao, J., Wang, H., & Jiang, Q. (2013). Design of a noninvasive bladder urinary volume monitoring system based on bio-impedance. Engineering, 5(10), 321.
[11]
Shida, K., & Yagami, S. (2006, November). A non-invasive urination-desire sensing system based on four-electrodes impedance measurement method. In IECON 2006-32nd Annual Conference on IEEE Industrial Electronics (pp. 2975-2978). IEEE.
[12]
Schlebusch, T., Nienke, S., Leonhardt, S., & Walter, M. (2014). Bladder volume estimation from electrical impedance tomography. Physiological measurement, 35(9), 1813.
[13]
Santorelli, A., Dunne, E., Porter, E., & O'Halloran, M. (2018, September). Multiclass svm for bladder volume monitoring using electrical impedance measurements. In 2018 EMF-Med 1st World Conference on Biomedical Applications of Electromagnetic Fields (EMF-Med) (pp. 1-2). IEEE.
[14]
Cömert, A., & Hyttinen, J. (2014). Impedance spectroscopy of changes in skin-electrode impedance induced by motion. BioMedical Engineering OnLine, 13(1), 1-19.
[15]
Li, Y., Peng, Y., Yang, X., Lu, S., Gao, J., Lin, C., & Li, R. (2019). Analysis of measurement electrode location in bladder urine monitoring using electrical impedance. Biomedical engineering online, 18(1), 1-12.

Index Terms

  1. Simulation and Experimental Study of Bladder Filling Degree based on a High-Fidelity 3D Model of The Lower Abdomen Built by CT Image

    Recommendations

    Comments

    Information & Contributors

    Information

    Published In

    cover image ACM Other conferences
    ICBSP '22: Proceedings of the 2022 7th International Conference on Biomedical Imaging, Signal Processing
    October 2022
    64 pages
    ISBN:9781450397858
    DOI:10.1145/3578892
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 17 May 2023

    Permissions

    Request permissions for this article.

    Check for updates

    Author Tags

    1. 3D finite element model
    2. Bladder fullness
    3. Electronic impedance

    Qualifiers

    • Research-article
    • Research
    • Refereed limited

    Conference

    ICBSP 2022

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • 0
      Total Citations
    • 26
      Total Downloads
    • Downloads (Last 12 months)9
    • Downloads (Last 6 weeks)1
    Reflects downloads up to 28 Feb 2025

    Other Metrics

    Citations

    View Options

    Login options

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    HTML Format

    View this article in HTML Format.

    HTML Format

    Figures

    Tables

    Media

    Share

    Share

    Share this Publication link

    Share on social media