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10.1145/3625687.3628382acmconferencesArticle/Chapter ViewAbstractPublication PagessensysConference Proceedingsconference-collections
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Poster Abstract: A Wearable for Non-Invasive Monitoring and Diagnosing Functional Disorders of the Lower Urinary Tract

Published: 26 April 2024 Publication History

Abstract

The aim of the research was to develop a new device for monitoring and diagnosing functional disorders of the lower urinary tract, which will enable measurement of muscle tension (EMG) and electrical impedance tomography (EIT) with the possibility of electrostimulation of bladder reconstruction.

References

[1]
Hafid A., Difallah S., Alves C., et all. 2023 State of the Art of Non-Invasive Technologies for Bladder Monitoring: A Scoping Review. Sensors (Basel) 23(5):2758.
[2]
Baran, B., Wójcik, D., Oleszek, M., Vejar, A., & Rymarczyk, T. 2022. BETS: A Bladder Monitoring System Using Electrical Impedance Tomography: poster. In Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems (pp. 804--805).
[3]
Kozłowski E. Gołabek M. Guzik. Wójcik D., Rymarczyk T. 2021. Ultrasound Tomography for Monitoring the Lower Urinary Tract. Proceedings of the 19th ACM Conference on Embedded Networked Sensor Systems (SenSys'21). Association for Computing Machinery, New York, NY, USA (2021), 3 88--390.

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Published In

cover image ACM Conferences
SenSys '23: Proceedings of the 21st ACM Conference on Embedded Networked Sensor Systems
November 2023
574 pages
ISBN:9798400704147
DOI:10.1145/3625687
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].

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 26 April 2024

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Author Tags

  1. electrical impedance tomography
  2. non-invasive method
  3. sensors
  4. image reconstruction
  5. machine learning
  6. medical monitoring

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Overall Acceptance Rate 174 of 867 submissions, 20%

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