YpsoPump Occlusion Detection Algorithm: Collection of Real-world Data for In-silico Evaluation of a New Software Algorithm to Refine Occlusion Detection in Subjects With Type 1 Diabetes Using Continuous Subcutaneous Insulin Infusion

CompletedOBSERVATIONAL
Enrollment

40

Participants

Timeline

Start Date

January 3, 2022

Primary Completion Date

March 1, 2022

Study Completion Date

March 1, 2022

Conditions
Diabetes Mellitus, Type 1
Interventions
DEVICE

YpsoPump® insulin pump system

The subjects will receive a CE-certified mylife™ YpsoPump® insulin pump system that allows detailed logging of pressure data. Data will then be analysed in silico comparing the new occlusion detection algorithm with the common occlusion detection algorithm.

Trial Locations (2)

Unknown

Institut für Diabetes-Technologie, Forschungs- und Entwicklungsgesellschaft mbH an der Universität Ulm, Ulm

Universitätsklinik für Diabetologie, Endokrinologie Ernährungsmedizin & Metabolismus, Bern

Sponsors

Collaborators (1)

All Listed Sponsors
collaborator

DCB Research AG

OTHER

lead

Ypsomed Diabetes Care AG

INDUSTRY