Comprehensive Augmented Reality Testing (CART) Platform for Parkinson’s disease

项目摘要/摘要 帕金森氏病(PD)是增长最快的神经系统疾病，甚至超过了阿尔茨海默氏症。 帕金森病的有效治疗依赖于基于能力的临床评估，如MDS-UPDRS III， 指导临床决策。临床评分虽然易于管理，但对帕金森病的评估很差 日常生活仪器性活动的表现(IADL)。IADL性能的下降是特别重要的 重要性，因为最近的基于人群的队列研究表明，IADL下降早于临床诊断为 并预测从独立护理环境到依赖护理环境的过渡。为了晋级 帕金森病的治疗和发现，客观衡量疾病症状的表现期间的‘真实世界’ 必须创建IADL方案。增强现实技术，其中计算机生成的图像是 叠加在用户的真实世界视图中，支持呈现数字场景以复制IADL和 通过集成IMU和深度相机客观量化用户的表现。这个项目的主要目的是 是开发一个准确、有效、可靠的增强现实评估平台，用于量化 帕金森病患者在临床和IADL增强现实环境下的运动和非运动表现。这个 建议的PD全面增强现实测试(CART)平台将客观量化基数 帕金森病的运动体征，以及IADL表现，以利于综合治疗症状和 精确跟踪疾病进展，最终可用于优化药物治疗和大脑深层 刺激编程。软件和生物医学领域的多学科专家团队 工程学、神经学、神经外科、神经心理学、物理治疗和统计学将合作 开发购物车平台，并确定其准确性、有效性和可靠性。将花费特别的关注 关于量化运动和认知任务之间的相互作用，因为双重任务的表现与步态有关 功能障碍和跌倒，在临床评估中历来被忽视。紧随发展 阶段，将进行一系列心理测量学研究和分析，以确定准确性、效度和 购物车平台在140名帕金森病患者队列中的可靠性(每个Hoehn阶段和Yahr阶段n=35- IV)和35名年龄匹配的对照组。CART PD平台具有改变PD治疗的潜力 在全球范围内通过使用 价格实惠的消费者可获得的电子设备，适合整合到治疗提供中 系统。

PROJECT SUMMARY/ABSTRACT Parkinson’s disease (PD) is the fastest growing neurological disease, outpacing even Alzheimer’s. A gap in the effective treatment of PD is the reliance on capacity-based clinical assessments, such as the MDS-UPDRS III, to guide clinical decision-making. Clinical ratings, while simple to administer, provide a poor estimation of PD performance of instrumental activities of daily living (IADLs). Declines in IADL performance are of particular importance, as recent population-based cohort studies indicate that IADL decline pre-dates clinical diagnosis of PD by 5-7 years and predict the transition from independence to dependent care settings. In order to advance PD treatment and discovery, objective measures of disease symptoms during the performance of ‘real-world’ IADL scenarios must be created. Augmented reality technology, in which computer-generated images are superimposed in the user’s real-world view, enable the presentation of digital scenarios to replicate IADLs and objectively quantify user’s performance via integrated IMUs and depth camera. The primary aim of this project is to develop an accurate, valid, and reliable augmented reality assessment platform for the quantification of motor and non-motor performance of PD under clinical and IADL augmented reality environments. The proposed Comprehensive Augmented Reality Test (CART) platform for PD will objectively quantify the cardinal motor signs of PD, as well as IADL performance, to facilitate comprehensive treatment of symptoms and precise tracking of disease progression that can eventually be used to optimize medication and deep brain stimulation programming. A multi-disciplinary team of experts in the areas of software and biomedical engineering, neurology, neurosurgery, neuropsychology, physical therapy and statistics will collaborate to develop the CART platform and determine its accuracy, validity and reliability. Particular attention will be spent on quantifying the interplay between motor and cognitive tasks, as dual-tasks performance is linked to gait dysfunction and falls and historically has been overlooked in clinical assessments. Following the development stage, a series of psychometric studies and analyses will be conducted to determine the accuracy, validity and reliability of the CART platform in a cohort of 140 individuals with PD (n=35 in each Hoehn and Yahr Stage I- IV) and 35 age-matched controls. The CART PD platform has the potential to transform the treatment of PD globally by creating an equal emphasis on clinical symptoms and IADL performance through the use of an affordable consumer-available electronic device that is suitable for the integration into treatment delivery systems.