inContAlert: Machine Learning Algorithms for Individual Bladder Filling Level Prediction

CompletedOBSERVATIONAL
Enrollment

36

Participants

Timeline

Start Date

March 1, 2023

Primary Completion Date

July 31, 2024

Study Completion Date

July 31, 2024

Conditions
Monitoring of the Bladder Filling
Interventions
DEVICE

inContAlert

InContAlert is a non-invasive sensor technology to measure the bladder filling level for incontinence patients. The device is fixed about 2cm above the pubic bone using a patch or strap and does not require surgery. The data collected from the patient is analyzed using deep learning algorithms. The bladder filling level determined in this way is then displayed on an app.

Trial Locations (1)

Unknown

inContAlert GmbH, Bayreuth

All Listed Sponsors
collaborator

University of Bayreuth

OTHER

lead

inContAlert GmbH

INDUSTRY