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Driving scenarios and environmental settings in simulator-based driving assessment systems for stroke: a systematic review.
Chanmas, Gunt; Taveekitworachai, Pittawat; Paliyawan, Pujana; Thawonmas, Ramita; Thawonmas, Ruck; Nukoolkit, Chakarida; Dajpratham, Piyapat.
Afiliación
  • Chanmas G; Graduate School of Information Science and Engineering, Ritsumeikan University, Shiga, Japan.
  • Taveekitworachai P; Graduate School of Information Science and Engineering, Ritsumeikan University, Shiga, Japan.
  • Paliyawan P; Ritsumeikan Center for Game Studies, Ritsumeikan University, Kyoto, Japan.
  • Thawonmas R; Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
  • Thawonmas R; College of Information Science and Engineering, Ritsumeikan University, Shiga, Japan.
  • Nukoolkit C; School of Information Technology, King Mongkut's University of Technology Thonburi, Bangkok, Thailand.
  • Dajpratham P; Department of Rehabilitation Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.
Top Stroke Rehabil ; 30(8): 872-880, 2023 12.
Article en En | MEDLINE | ID: mdl-36617424
ABSTRACT

BACKGROUND:

Driving simulators are effective tools to evaluate the driving abilities of patients with stroke. They can introduce various driving scenarios which will greatly benefit both the assessors and drivers. However, there is still no guidelines by which driving scenarios should be introduced in the driving assessment.

OBJECTIVES:

We conducted a systematic review to examine the utilization of driving scenarios and environments in the simulator-based driving assessment for patients with stroke.

METHODS:

A systematic review was conducted following PRISMA. We searched PubMed, Web of Science, ScienceDirect, ACM Digital Library, and IEEE Xplore Digital Library databases in January and June 2022 to identify eligible articles published since 2010.

RESULTS:

Our searches identified 1,614 articles. We included 12 studies that applied driving simulators to assess the driving performance of patients with stroke. The driving scenarios were categorized into three categories - vehicle controls scenarios, hazard perception scenarios, and trajectory planning scenarios - based on a certain set of driving abilities. The most common driving scenarios are simple navigation (n = 8) and emergency stop (n = 8). The most frequently used driving area is urban (n = 9), and a variety of roads and traffic conditions were found in the included studies. Only 2 studies applied weather conditions, such as the clear and sunny condition or the windy condition.

CONCLUSION:

It is recommended for future research to consider covering scenarios from the aforementioned three categories and further investigate the benefits of introducing complex weather conditions and localized traffic conditions in the driving assessment.
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Conducción de Automóvil / Accidente Cerebrovascular Tipo de estudio: Systematic_reviews Límite: Humans Idioma: En Revista: Top Stroke Rehabil Asunto de la revista: ANGIOLOGIA / REABILITACAO Año: 2023 Tipo del documento: Article País de afiliación: Japón

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Conducción de Automóvil / Accidente Cerebrovascular Tipo de estudio: Systematic_reviews Límite: Humans Idioma: En Revista: Top Stroke Rehabil Asunto de la revista: ANGIOLOGIA / REABILITACAO Año: 2023 Tipo del documento: Article País de afiliación: Japón