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Project

VisIMon

Networked, Intelligent and Interactive System for Continuous, Perioperative  Monitoring and Control of an Irrigation Device, as well as for Functional Monitoring of the Lower Urinary Tactonitoring

Networked, Intelligent and Interactive System for Continuous, Perioperative Monitoring and Control of an Irrigation Device, as well as for Functional Monitoring of the Lower Urinary Tactonitoring

  • Duration:

Continuous bladder irrigation is the standard after operations on the bladder, prostate, or kidneys to prevent complications caused by blood clots. The irrigation should be monitored constantly, but this is not possible in everyday clinical practice. Therefore, the motivation of VisIMon is to enable automated monitoring. It leads to improved patient care while at the same time relieving the strain on staff.

The aim of the project VisIMon is the development of a small module worn on the body which monitors the irrigation process with the aid of various sensors. The system should seamlessly integrate with the established standard process. Through the cooperation of interdisciplinary partners from industry and research, the necessary sensors are to be developed and combined into an effective monitoring system. Modern communication technology enables the development of completely new concepts how medical devices interact with a hospital. At more than 200,000 applications per year in Germany, the development is extremely attractive not only from a medical but also from an economic point of view.

Partners

  • Albert-Ludwigs-Universität Freiburg
  • Fraunhofer Gesellschaft zur Förderung der Angewandten Forschung E.V.
  • Lohmann & Birkner Health Care Consulting GmbH
  • Digital Biomedical Imaging Systems AG

Sponsors

BMBF - Federal Ministry of Education and Research

16SV7861K

BMBF - Federal Ministry of Education and Research

Publications about the project

Gerd Reis; Xiaoying Tan; Lea Kraft; Mehmet Yilmaz; Dominik Stephan Schoeb; Arkadiusz Miernik

In: Sensors - Open Access Journal (Sensors), Vol. 21, No. 17, Pages 1-14, MDPI, 8/2021.

To the publication

Marc Fournelle; Tobias Grün; Daniel Speicher; Steffen Weber; Mehmet Yilmaz; Dominik Schoeb; Arkadiusz Miernik; Gerd Reis; Steffen Tretbar; Holger Hewener

In: Ayman El-baz; Guruprasad A. Giridharan; Ahmed Shalaby; Ali H. Mahmoud; Mohammed Ghazal (Hrsg.). Sensors - Open Access Journal (Sensors), Vol. 21, No. 19, 6481, MDPI, 6/2021.

To the publication

Xiaoying Tan; Gerd Reis; Didier Stricker

In: David Riaño; Szymon Wilk; Annette ten Teije (Hrsg.). Artificial Intelligence in Medicine. Conference on Artificial Intelligence in Medicine (AIME-2019), June 26-29, Poznan, Poland, Pages 57-66, ISBN 678-3-030-21641-2, Springer, 2019.

To the publication