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To Drive or Not to Drive? A Machine Learning Data Analysis Approach Among Stroke Patients
The goal of this observational study is to learn more about who can continue driving a car after a stroke. The focus of this study is on the relationship between cognitive abilities and fitness-to-drive. Participants will be asked to perform an extended neuropsychological testing and a real life on-road test, conducted by a professional driving instructor. Feedback will be given to the participants on request.
The relationship between cognitive abilities and driving skills is really complex. This study aims to introduce novel data analysing methods that can be used by medical professionals to decide whether the stroke patient is able to operate a vehicle safely or not. The neuropsychological assessment will involve paper and pencil tests, computerized tests (such as reaction time measurements) and a driving simulator. This part will be approximately 2 hours. Since the first part is really tiresome, the test driving will be on an other day. The driving instructor will guide the participant on a standard route, and will evaluate the performance using standard criteria that will focus mainly on traffic safety. Who can participate in the study: * Aged 65 or younger * Holds a driving licence * Had an ischemic or hemorrhagic stroke * Has sufficient physical abilities to operate a car * Does not have certain medical conditions such epilepsy
Age
0 - 65 years
Sex
ALL
Healthy Volunteers
No
National Institute for Medical Rehabilitation
Budapest, Hungary
Start Date
March 1, 2022
Primary Completion Date
December 31, 2024
Completion Date
December 31, 2024
Last Updated
November 1, 2023
100
ESTIMATED participants
Neuropsychological testing
BEHAVIORAL
On road test
BEHAVIORAL
Lead Sponsor
National Institute for Medical Rehabilitation, Hungary
Collaborators
NCT07371455
NCT05093673
Data Source & Attribution
This clinical trial information is sourced from ClinicalTrials.gov, a service of the U.S. National Institutes of Health.
Modifications: This data has been reformatted for display purposes. Eligibility criteria have been parsed into inclusion/exclusion sections. Location data has been geocoded to enable distance-based search. For the authoritative and most current information, please visit ClinicalTrials.gov.
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View ClinicalTrials.gov Terms and ConditionsNCT06258538