The HEADWIND Study - Part 4

Diabetes Clinical Trial

Official title: Non-randomised, Controlled, Interventional Single-centre Study for the Design and Evaluation of an In-vehicle Hypoglycaemia Warning System in Diabetes The HEADWIND Study Part IV

Status Completed

Clinical Trial Summary

To analyse driving behavior of individuals with type 1 diabetes in eu- and mild hypoglycaemia while driving in a real car. Based on the in-vehicle variables, the investigators aim at establishing algorithms capable of discriminating eu- and hypoglycaemic driving patterns using machine learning classifiers.

Clinical Trial Description

Hypoglycaemia is among the most relevant acute complications of diabetes mellitus. During hypoglycaemia physical, psychomotor, executive and cognitive function significantly deteriorate. These are important prerequisites for safe driving.

Accordingly, hypoglycaemia has consistently been shown to be associated with an increased risk of driving accidents and is, therefore, regarded as one of the relevant factors in traffic safety. Therefore, this study aims at evaluating a machine-learning based approach using in-vehicle data to detect hypoglycaemia during driving.

During controlled eu- and hypoglycaemia, participants with type 1 diabetes mellitus drive in a driving school car on a closed test-track while in-vehicle data is recorded. Based on this data, the investigators aim at building machine learning classifiers to detect hypoglycemia during driving. ;

Related Conditions & MeSH terms

• Diabetes
• Diabetes Mellitus
• Diabetes Mellitus, Type 1
• Hypoglycemia

• NCT number: NCT05308095
• Study type: Interventional
• Source: University Hospital Inselspital, Berne
• Status: Completed
• Phase: N/A
• Start date: April 13, 2022
• Completion date: June 23, 2022