Reha Drive: Predictors of Fitness to Drive a Car for Cardiologic Patients and Determination of Vital Signs

Reha Drive: Predictors of Fitness to Drive a Car for Cardiologic Patients in Rehabilitation and Acute Clinic and Contactless Determination of Vital Signs Via Camera

Status

UNKNOWN

Phases

Study type

Interventional

Source

ClinicalTrials.gov

Registry ID

NCT02368158

Acronym

RehaDrive

Enrollment

Registered

2015-02-20

Start date

2013-10-31

Completion date

2015-12-31

Last updated

2015-09-16

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Cardiovascular Diseases

Keywords

myocard infarction, arrhythmia, fitness of driving

Brief summary

In this study predictors of fitness to drive a car in cardiologic patients after acute intervention and discharge from hospital to home or rehabilitation are determined in addition to possible automotive monitoring of vital signs via contact less sensors.

Detailed description

Increasing numbers of elderly people with cardiovascular diseases and the wish to drive a car need recommendations corresponding to fitness of driving after their discharge from hospital to home or rehabilitation. A policy paper of the German Cardiac Society (DGK) of 2010 discusses the aptitude of driving a car of cardiovascular patients on experience but only little trial data.Therefore predictors of reduced fitness to drive a car are determined via medical data in comparison to data elevated while driving in a simulator and evaluated via Lane Change Test (LCT). Also monitoring of the fitness of driving in the car, automotive monitoring via contactless sensors, could be helpful for judgement.Therefore possible evaluation of heart and breathing rate will be examined with contactless measurements via video camera.

Interventions

OTHERDriving simulation with elevation of medical data in comparison to Lane Change Test plus automotive monitoring via contactless sensors

During a driving simulation medical data are elevated such as electrocardiography (ECG), heart rate breathing rate and oxygen saturation and compared to data of the performed Lane Change Test as a measurement for the quality of driving. Hereby the deviation of the lane from baseline during driving and ordered lane change via signs are determined also when performing cognitive and visual tasks. Also the simulation is simultaneously accompanied by monitoring via contactless camera usage in regard to possible determination of heart and breathing rate according to Eulerian Magnification Method

Study design

Allocation

NON_RANDOMIZED

Intervention model

PARALLEL

Primary purpose

BASIC_SCIENCE

Masking

NONE

Eligibility

Sex/Gender

ALL

Age

18 Years to No maximum

Healthy volunteers

Yes

Inclusion criteria

* cardiologic disease after acute event (e. g. myocard infarction, bypass surgery, device implantation) * rehabilitation in clinic An der Rosenquelle

Exclusion criteria

* dementia * lack of language ability * pregnancy

Design outcomes

Primary

Measure	Time frame	Description
mean reaction time	30 minutes	determination of predictors of fitness of driving a car in cardiologic patients in rehabilitation and acute clinic via comparison of medical data such as ECG, heart rate, breathing rate, oxygen saturation to quality of driving data via Lane Change Test
oxygen saturation	30 minutes	determination of predictors of fitness of driving a car in cardiologic patients in rehabilitation and acute clinic via comparison of medical data such as ECG, heart rate, breathing rate, oxygen saturation to quality of driving data via Lane Change Test
mean deviation of baseline lane	30 minutes	determination of predictors of fitness of driving a car in cardiologic patients in rehabilitation and acute clinic via comparison of medical data such as ECG, heart rate, breathing rate, oxygen saturation to quality of driving data via Lane Change Test
Electrocardiography (ECG)	30 minutes	determination of predictors of fitness of driving a car in cardiologic patients in rehabilitation and acute clinic via comparison of medical data such as ECG, heart rate, breathing rate, oxygen saturation to quality of driving data via Lane Change Test
Breathing rate (BR)	every 5 minutes for 30 minutes	determination of predictors of fitness of driving a car in cardiologic patients in rehabilitation and acute clinic via comparison of medical data such as ECG, heart rate, breathing rate, oxygen saturation to quality of driving data via Lane Change Test
Heart rate (HR)	every 5 minutes for 30 minutes	determination of predictors of fitness of driving a car in cardiologic patients in rehabilitation and acute clinic via comparison of medical data such as ECG, heart rate, breathing rate, oxygen saturation to quality of driving data via Lane Change Test
Blood pressure	every 5 minutes for 30 minutes	determination of predictors of fitness of driving a car in cardiologic patients in rehabilitation and acute clinic via comparison of medical data such as ECG, heart rate, breathing rate, oxygen saturation to quality of driving data via Lane Change Test

Secondary

Measure	Time frame	Description
Breathing rate	every 5 minutes for 30 minutes	feasibility of automotive monitoring of heart and breathing rate via contactless camera
heart rate (HR)	every 5 minutes for 30 minutes	feasibility of automotive monitoring of heart and breathing rate via contactless camera

Countries

Germany

Contacts

Primary ContactSebastian Reith, MD

sreith@ukaachen.de+49 241 80

Backup ContactSigrid Gloeggler, M.Sc.

sgloeggler@ukaachen.de+49 241 80

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026