Driving assessment and rehabilitation using a driving simulator in individuals with traumatic brain injury: A scoping review

Imhoff, Sarah; Lavallière, Martin; Teasdale, Normand; Fait, Philippe

doi:10.3233/nre-161354

Cited by 28 publications

(11 citation statements)

References 61 publications

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“…Driving suitability is determined by considering the evaluation results of overall driving abilities. The evaluation results of driving abilities are converted to a single score by using functions such as z-score or sum [49]. The final driving suitability is then determined by considering the distribution of the control group [47], results of driving evaluators [50], or results of the on-road test [51].…”

Section: Related Workmentioning

confidence: 99%

Driving-PASS: A Driving Performance Assessment System for Stroke Drivers Using Deep Features

et al. 2021

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Despite any doubts about driving safety, many stroke drivers drive again due to the absence of valid screening tools. The on-road test is considered a formal assessment, but there are safety issues in testing directly on stroke patients who are not fully capable of driving. A driving simulator is a promising tool since it provides meaningful information for identifying hazards to driving safety across different driver populations and driving conditions. Using the advantages of a driving simulator, we propose a Driving Performance Assessment System for Stroke drivers (Driving-PASS). Driving-PASS is designed not only to pre-screen invalid stroke drivers before the on-road test but also to provide problematic driving items for the use in driving rehabilitation. To design assessment classifiers, i.e., the core engine of Driving-PASS, we collect driving data from a total of twenty-seven participants in thirteen driving scenarios. Thereafter, we get subjective assessment results from ten driving evaluators in eleven assessment items. By using driving data and subjective assessment results, we construct eleven assessment classifiers for ten driving ability items and one driving suitability item. We addressed the technical challenges such as handcrafted features and imbalanced dataset by a feature extraction method using pre-trained CNN models and a resampling method. Through comprehensive performance evaluation, we build eleven accurate assessment classifiers in Driving-PASS by carefully selecting deep features in each assessment item. We envision that Driving-PASS can be used as a pre-screening tool for evaluating stroke drivers and will ultimately improve road safety.

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Section: Related Workmentioning

confidence: 99%

Driving-PASS: A Driving Performance Assessment System for Stroke Drivers Using Deep Features

et al. 2021

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“…Driving evaluation consists of a clinical, off-road assessment followed by an on-road assessment 17 . Driving efficiency is improved with on-road driving rehabilitation 18 and a variety of interventions, such as computer-based driving simulator training, off-road skill-specific training and off-road education programmes 19 . Accommodation, adaptation and modification of motor vehicles are also prevalent interventions in the field 20 .…”

Section: Literature Reviewmentioning

confidence: 99%

Screening fitness to drive by occupational therapists in Gauteng Public Healthcare - an Action Learning Action Research outcome

Biljon¹,

Casteleijn²,

Rabothata³

et al. 2019

S. Afr. j. occup. ther.

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Introduction: In South Africa, public healthcare users equate the ability to drive a motor vehicle to employability and access to essential services. When injury or illness threatens the ability to drive, the multi-professional medical team usually refer the problem to the occupational therapist who will make decisions about patients' fitness to drive a motor vehicle.Method: Over the course of five years, a collaborative task team applied multiple Action Learning Action Research (ALAR) cycles to address the problem. Qualitative data collected included field notes, reflective journaling, meeting minutes and a survey.Results: ALAR cycles resulted in a user manual and tool to screen driver fitness for occupational therapists. A follow-up survey indicated that despite a low user ratio, clinicians were of the opinion that the screening tool was user-friendly and contextually relevant to their practices.Conclusion: ALAR was effective in addressing a practice problem and empowering clinicians to develop a structured approach to screen fitness to drive in patients accessing public healthcare. Screening, as a first step within the field of driving rehabilitation, is now available in Gauteng public healthcare.

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“…Virtual reality (VR) technology may provide an effective means to integrate cognitive and functional approaches to TBI rehabilitation (Imhoff, Lavallière, Teasdale, & Fait, 2016; Lew, Rosen, Thomander, & Poole, 2009). The guiding concept for VR rehabilitation is to provide an immersive, engaging, and realistic environment in which to practice cognitive, sensorimotor, and functional skills.…”

Section: Introductionmentioning

confidence: 99%

“…VR scenarios can simulate a wide range of real or imagined tasks and environments. While VR may not be necessary for tasks that are easily recreated in existing therapy environments, it is particularly well-suited for tasks that are challenging or dangerous to recreate within real-world treatment environments, such as driving an automobile (Imhoff et al, 2016; Lew et al, 2009).…”

Section: Introductionmentioning

confidence: 99%

“…However, these findings have not been replicated or validated for those with symptomatic mild TBI. Additionally, little is known about the effectiveness of VR rehabilitation programs for TBI-related cognitive deficits (Imhoff et al, 2016). In response to these clinical and research gaps, we developed an intervention known as Neurocognitive Driving Rehabilitation in Virtual Environments (NeuroDRIVE), which was designed to improve cognitive performance and overall driving safety by providing integrated training in these skills.…”

Section: Introductionmentioning

confidence: 99%

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Neurocognitive Driving Rehabilitation in Virtual Environments (NeuroDRIVE): A pilot clinical trial for chronic traumatic brain injury

Ettenhofer

Guise

Brandler

et al. 2019

NRE

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BACKGROUND: Virtual reality (VR) technology may provide an effective means to integrate cognitive and functional approaches to TBI rehabilitation. However, little is known about the effectiveness of VR rehabilitation for TBI-related cognitive deficits. In response to these clinical and research gaps, we developed Neurocognitive Driving Rehabilitation in Virtual Environments (NeuroDRIVE), an intervention designed to improve cognitive performance, driving safety, and neurobehavioral symptoms. OBJECTIVE: This pilot clinical trial was conducted to examine feasibility and preliminary efficacy of NeuroDRIVE for rehabilitation of chronic TBI. METHODS: Eleven participants who received the intervention were compared to six wait-listed participants on driving abilities, cognitive performance, and neurobehavioral symptoms. RESULTS: The NeuroDRIVE intervention was associated with significant improvements in working memory and visual search/selective attention— two cognitive skills that represented a primary focus of the intervention. By comparison, no significant changes were observed in untrained cognitive areas, neurobehavioral symptoms, or driving skills. CONCLUSIONS: Results suggest that immersive virtual environments can provide a valuable and engaging means to achieve some cognitive rehabilitation goals, particularly when these goals are closely matched to the VR training exercises. However, additional research is needed to augment our understanding of rehabilitation for driving skills, cognitive performance, and neurobehavioral symptoms in chronic TBI.

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Driving assessment and rehabilitation using a driving simulator in individuals with traumatic brain injury: A scoping review

Cited by 28 publications

References 61 publications

Driving-PASS: A Driving Performance Assessment System for Stroke Drivers Using Deep Features

Driving-PASS: A Driving Performance Assessment System for Stroke Drivers Using Deep Features

Screening fitness to drive by occupational therapists in Gauteng Public Healthcare - an Action Learning Action Research outcome

Neurocognitive Driving Rehabilitation in Virtual Environments (NeuroDRIVE): A pilot clinical trial for chronic traumatic brain injury

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