Adaptive Assistive Rehabilitative Technology: Beyond the Clinic (AART-BC)

我们目前不知道辅助康复技术（ART）患者在诊所之外做什么，我们也不知道患者每天是如何与他们的辅助康复技术和辅助康复技术相互作用的。这意味着我们并没有真正了解个体处方适应性抗逆转录病毒治疗（AART）的依从性和疗效，因此导致患者自身的次优结果和NHS资源的低效使用。这个为期36个月的项目具有想象力和范围，可以为一系列条件及其相关的AART提供测量、验证和反馈设施。它汇集了一个具有高度多学科背景的团队，这将有助于创建一个平台，为临床医生、护理人员、最终用户或研究用途提供信息。该项目涉及7所大学：华威大学（UoW）、卡迪夫大学（UoC）、索尔福德大学（UoS）、伦敦大学学院（UCL）、肯特大学（UoK）、约克大学（uy）和牛津-布鲁克斯大学（OBU）。它还汇集了UCL PAMELA实验室的独特设施，以及UoS的三个人类绩效实验室（HPL）。如果有可能在日常（家庭）环境和室外城市环境中以不显眼的方式监测抗逆转录病毒治疗的使用情况，这将使临床医生、专员和医疗技术人员能够更好地了解条件、抗逆转录病毒治疗、依从性和使用质量，并允许更好地探索反馈的积极影响，以促进自我管理。项目合作伙伴将开发“纹身式”传感器，用于监测位置、活动和情绪状态（通过皮肤电反应），可用于跟踪在家内外的AT和/或RT的使用情况。该项目开发的纹身传感器的主要优势可能是其低成本和高用户接受度。然而，在项目中，我们还将使用额外的现成的离散传感器（例如智能手表）来补充来自纹身传感器套件的数据。这种方法将允许我们收集全面的，但不引人注目的传感器数据，具体到特定的AT或RT应用程序。从这套传感器中获得的信息将被远程记录和分析，并为特定的用户和特定的AT或rt导出个性化的病情签名（ICS）。然后，ICS将用于向临床医生/护理人员或最终用户自己反馈信息，以便他们判断有效性并可能修改使用以鼓励良好的结果。ICS还将用于描述研究利益相关者在家中使用的特定AT和RT；AT使用和RT依从性的可观察性目前较差，依赖于间接方法，如自我报告。在这个项目结束时，我们将开发出一个原型通用平台（art- bc），该平台使用创新的廉价一次性传感器，以临时纹身的形式，结合其他不太起眼的传感技术（例如智能手表）和用户反馈软件。该系统将在家中和室外运行，并且就其本身的性质而言，它将完全符合日常生活的要求，并且不会引人注目。

We currently have no idea what the Assistive Rehabilitation Technology (ART) patient does outside the clinic, and we have no idea how the patient interacts with their AT and RT on a daily basis. This means that we do not truly understand the compliance with, and efficacy of, individually prescribed Adaptive ART (AART), hence leading to sub-optimal outcomes for the patient themselves and inefficient use of NHS resources. This 36-month project has the imagination and scope to provide measurement, validation, and a feedback facility for a range of conditions and their associated AART. It brings together a highly multidisciplinary team with backgrounds that will facilitate the creation of a platform to provide information for the clinician, the carer, the end-user or for research use. The project involves 7 universities: University of Warwick (UoW), University of Cardiff (UoC), University of Salford (UoS), University College London (UCL), University of Kent (UoK), University of York (UoY), and Oxford-Brookes University (OBU). It also brings together the unique facilities of the PAMELA lab at UCL, alongside the three Human Performance Laboratories (HPL) at UoS. If it were possible to monitor the use of ART in the everyday (home) environment and outside in the urban environment, in an unobtrusive manner, this would enable clinicians, commissioners and medical technologists to better understand conditions, the ART, the compliance and quality of use, and allow better exploration of the positive effects of feedback to promote self-management.The project partners will develop "tattoo like" sensors to be used to monitor things like position, activity and emotional state (through galvanic skin response), that can be used to track the use of AT and/or RT in the home and beyond. The major advantages of the tattoo sensors developed in the project is likely to be their low cost and high degree of user acceptance. However, within the project we will also use additional off-the-shelf-discrete sensors (e.g. a smart-watch) to complement the data derived from the tattoo sensor suite. This approach will allow us to gather comprehensive, but unobtrusive sensor data, specific to the particular AT or RT application. The information derived from this suite of sensors will be remotely logged and analysed and an individualised condition signature (ICS) is derived for a particular user and a particular AT or RT. The ICS will then be used to feedback information to either the clinician/ carer or the end-user themselves in order for them to judge effectiveness and potentially modify use to encourage good outcomes. The ICS will also be used to characterise particular AT and RT use in the home for research stakeholders at large; observability of AT use and RT compliance is currently poor and relies on indirect methods, such as self-report.At the end of this project we will have developed a prototype generic platform (AART-BC) that uses, innovative cheap, disposable sensors in the form of temporary tattoos, in combination with other unobtrusive sensing technologies (e.g. smart-watch), and user-informed feedback software. The system will operate in the home, as well as outside, and will by its very nature be completely conformal and unobtrusive for embedding in daily life.