inContAlert: Machine Learning Algorithms for Individual Bladder Filling Level Prediction

April 16, 2025 updated by: inContAlert GmbH

Evaluation and Optimization of Machine Learning Algorithms for Individual Bladder Filling Level Prediction by a Sensor System

The aim of this study is to evaluate the bladder filling level of the study participants using the inContAlert sensor. The generated data will be used for the evaluation and optimization of the machine learning algorithms to be able to make precise predictions about the individual bladder fill level.

In particular, the hypothesis that the bladder filling level can be estimated by the algorithm will be tested. When testing the hypothesis, it should be determined which deviation (measured by the mean absolute percentage error) of the estimation/prediction differs from the actual value (obtained by measuring the urine output using a measuring cup in combination with kitchen scales).

Study Overview

Status

Completed

Conditions

Intervention / Treatment

Study Type

Observational

Enrollment (Actual)

36

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

  • Germany
      • Bayreuth, Germany
        • inContAlert GmbH

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Sampling Method

Non-Probability Sample

Study Population

The selection of the study participants is based on a voluntary basis by inContAlert GmbH.

Description

Inclusion Criteria:

  • informed consent

Exclusion Criteria:

  • Missing informed consent

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Difference between the predicted bladder filling level and the actual value
Time Frame: December 2023
Difference (measured as mean absolute error in percent) of the predicted bladder filling level (measured in ml) and the actual value (determined by measuring the volume of urine in ml with a measuring cup in combination with a kitchen scale).
December 2023

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

inContAlert GmbH

Collaborators

University of Bayreuth

Investigators

  • Study Director: Jannik Lockl, Dr., inContAlert GmbH

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

March 1, 2023

Primary Completion (Actual)

July 31, 2024

Study Completion (Actual)

July 31, 2024

Study Registration Dates

First Submitted

June 5, 2023

First Submitted That Met QC Criteria

July 17, 2023

First Posted (Actual)

July 19, 2023

Study Record Updates

Last Update Posted (Actual)

April 20, 2025

Last Update Submitted That Met QC Criteria

April 16, 2025

Last Verified

April 1, 2025

More Information

Terms related to this study

Keywords

Other Study ID Numbers

  • Az. O 1305/1 -GB

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

product manufactured in and exported from the U.S.

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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