The HEADWIND Study - Part 4
NCT05308095 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 10
Last updated 2022-12-21
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.
Conditions
- Diabetes
- Diabetes Mellitus, Type 1
Interventions
- OTHER
-
Controlled hypoglycaemic state while driving
Participants will drive on a designated circuit with a real car on a test track accompanied by a driving instructor. Initially, a euglycaemic state (5.0 - 8.0 mmol/L) is established and blood glucose is then declined to hypoglycaemia (3.0 - 3.5 mmol/L) by administering insulin. Thereafter, blood glucose is raised again to euglycaemia (5.0 - 8.0mmol/L). During the procedure, driving data is recorded. Additionally, eye movement, head pose, facial expression, heart rate, skin conductance, and CGM values are recorded throughout the glycemic trajectory. Participants are blinded to the blood glucose values during the procedure.
Sponsors & Collaborators
-
Swiss Federal Institute of Technology
collaborator OTHER -
University of St.Gallen
collaborator OTHER -
Insel Gruppe AG, University Hospital Bern
lead OTHER
Principal Investigators
-
Christoph Stettler, Prof. MD · Inselspital, Bern University Hospital, University of Bern, Switzerland, Department of Diabetes, Endocrinology, Nutritional Medicine and Metabolism, Bern, Switzerland
Study Design
- Allocation
- NA
- Purpose
- OTHER
- Masking
- NONE
- Model
- SINGLE_GROUP
Eligibility
- Min Age
- 21 Years
- Max Age
- 60 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2022-04-13
- Primary Completion
- 2022-06-23
- Completion
- 2022-06-23
Countries
- Switzerland
Study Locations
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