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Let's do groceries - a novel virtual assessment for post-stroke unilateral spatial neglect

机译:让我们来做杂货-一种针对卒中后单侧空间疏忽的新颖虚拟评估

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Background: Unilateral spatial neglect (USN), a highly prevalent post-stroke impairment, has been strongly associated with poor functional outcomes in self-care and instrumental activities of daily living. Hence, its sensitive detection is crucial. Yet, conventional USN assessments present with significant limitations, often leading to misdiagnosis. Virtual reality (VR) can be used to counteract those issues and increase detection sensitivity. Objective: To examine the feasibility, refine development and promote future implementation of a novel Ecological VR-based Evaluation of Neglect Symptoms (EVENS). Methods: EVENS consists of two (simple and complex) immersive, 3-D scenes, depicting grocery shopping shelves, where object-detection and navigation tasks are performed using a joystick. Through a cross-sectional study, the effects of virtual scene complexity on navigational and detection abilities in patients with (USN+) and without (USN−) post-stroke USN and in healthy controls (HC) were determined. These findings were complimented by gathering the opinion of clinicians and experts in the field as to the barriers/facilitators to the use of VR and the features for an optimal assessment. Results: Longer detection times and larger mediolateral deviations from ideal paths were found in USN+ vs. USN− and HC groups. Several barriers/facilitators for clinical VR use and features of an optimal VR-based tool were identified. Conclusion: Navigation and detection abilities are affected by environmental complexity of the VR scene in individuals with post-stroke USN and can be employed for USN assessment. The present knowledge translation initiatives can refine EVENS' design and promote its future application and adherence to its use in clinical settings.
机译:背景:单侧空间忽视(USN)是中风后高度普遍的损伤,与自我保健和日常生活的工具活动中不良的功能性结果密切相关。因此,其灵敏的检测至关重要。但是,常规的USN评估存在明显的局限性,通常会导致误诊。虚拟现实(VR)可用于解决这些问题并提高检测灵敏度。目的:研究可行性的研究,完善发展并促进未来实施基于生态的基于虚拟现实的忽视症状评估(EVENS)。方法:EVENS由两个(简单和复杂)沉浸式3D场景组成,描绘了杂货店购物货架,其中使用操纵杆执行对象检测和导航任务。通过一项横断面研究,确定了虚拟场景复杂性对有(USN +)和无(USN-)脑卒中后USN的患者以及健康对照组(HC)的导航和检测能力的影响。通过收集该领域的临床医生和专家关于使用VR的障碍/促进因素以及进行最佳评估的功能的意见,对这些发现进行了补充。结果:在USN +与USN-和HC组中发现更长的检测时间和与理想路径的更大的中外侧偏斜。确定了临床VR使用的几个障碍/促进因素以及基于VR的最佳工具的功能。结论:卒中后USN患者的VR场景环境复杂度会影响其导航和检测能力,并可用于USN评估。当前的知识翻译计划可以完善EVENS的设计,并促进其未来的应用以及在临床环境中的坚持使用。

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