NCT04689685

The RADAR Study - Wearable-Based Dysglycemia Detection and Warning in Diabetes

• Status: Completed
• Phase: —
• Study type: Observational
• Enrollment: 40 (actual)
• Sponsor: Insel Gruppe AG, University Hospital Bern · Academic / Other
• Sex: All
• Age: 18 Years
• Healthy volunteers: Not accepted

Summary

The study RADAR aims at developing a wearable based dysglycemia detection and warning system for patients with diabetes mellitus using artificial intelligence.

Detailed description

Prior research has investigated the general potential of data analytics and artificial intelligence to infer blood glucose levels from a variety of data sources. In this study patients with insulin-dependent diabetes mellitus will be wearing a continuous glucose meter (CGM) and a smartwatch for a maximum duration of 3 months in an outpatient setting. The gathered data will be used to develop a non-invasive and wearable based dysglycemia detection and warning system using artificial intelligence.

Conditions

• Diabetes Mellitus, Insulin-Dependent
• Diabetes

Interventions

Type	Name	Description
OTHER	Wearing smartwatch and continous glucose sensor	Patients will be wearing a smartwatch and a continuous glucose meter (CGM) over a maximum duration of 3 months in an outpatient setting.

Timeline

• Start date: 2021-02-19
• Primary completion: 2022-03-28
• Completion: 2022-03-28
• First posted: 2020-12-30
• Last updated: 2022-09-14

Locations

1 site across 1 country: Switzerland