AI-based Assistive & Passive Technology for non-Invasive Elderly care (ADAPTIVE)

MiiCARE Ltd旨在通过自适应项目开发一种非可穿戴辅助生活保健解决方案，融入基于人工智能的新型机器学习能力，以了解老年受试者脚步的声学特征，以预测跌倒的可能性、与其他健康状况相关的姿势变化或痴呆症等认知问题的进展。该解决方案是专门为解决痴呆症患者(PLWD)中未得到满足的需求而开发的。现有的环境辅助生活技术并不是专门为痴呆症设计的，需要痴呆症患者通过佩戴(在跌倒后)指示跌倒的设备来适应这项技术。自适应扩展了miiCARE创新的物联网解决方案(MiiCUBE)，并使用声事件检测中的新兴技术来预测PLWD的跌倒风险，从而能够及早采取预防措施并防止升级。这是第一次使用这种技术来改善PLWD在自己家里的生活质量。MiiCUBE的可行性已经通过肯特郡老年家庭(非痴呆症患者)的试验得到证明，并展示了几个成功的使用案例。自适应项目将通过开发新的人工智能来赋予miiCUBE音频监控能力，以具体评估跌倒风险并监控PLWD中的其他痛苦行为，从而帮助改善痴呆症护理的整体提供。初步试验将在布里斯托尔社区的50名患有和不患有痴呆症的老年人身上进行。经过初步试验和迭代，自适应将部署在多佛和谐村，这是一个有30名痴呆症居民的受控环境，旨在利用远程护理解决方案造福居民。东肯特医院NHS信托基金将在哈莫尼亚村的多人环境中管理试验，并提供临床输入，产生更多数据来训练我们的人工智能算法。肯特大学将进行定性和定量的数据分析，以确定该项目的临床和功能结果。ADAPTIVE将使痴呆症患者留在自己家里舒适、安全的环境中，同时让照顾者和家庭安心，并通过减少不必要的警报呼叫和支持新的护理模式来提高护理环境的安全性。它的目标是减少英国经济中263亿GB的痴呆症成本(其中88亿GB是国家社会和医疗保健成本的总和)，以及由NHS承担的痴呆症相关成本。

miiCARE Ltd aims to develop a non-wearable assisted living healthcare solution through the ADAPTIVE project, incorporating novel AI-based machine learning capability to learn about the acoustic characteristics of elderly subjects' footsteps in order to predict the likelihood of falls, the changes in postures relating to other health conditions or the progression of cognitive issues such as Dementia. The solution is specifically developed to address an unmet need among People Living With Dementia (PLWD). Existing technologies for ambient assisted living are not designed specifically for dementia and require users with dementia to adapt to the technology by wearing devices that indicate falls (after they have happened). ADAPTIVE extends miiCARE's innovative IoT solution (miiCUBE) and uses emerging techniques in acoustic events detection to predict fall risks among PLWD, enabling preventative measures to be taken early and prevent escalation. This is the first time such technology is being used to improve the quality of life of PLWD within their own homes. miiCUBE's feasibility has been proven through trials with elderly households (not with dementia) across Kent, demonstrating several successful use cases.The ADAPTIVE project will give miiCUBE audio monitoring capabilities by developing novel AI to specifically assess fall risk and monitor other distressful behaviours in PLWD that would help improve the delivery of dementia care as a whole. Initial trials will be conducted on a mix of 50 elderly people with and without dementia in the Bristol communities. Following initial trials and iterations, ADAPTIVE will be deployed in the Dover Harmonia Village, a controlled environment with 30 residents with dementia, which aims to make use of telecare solutions for residents' benefit. East Kent Hospital NHS Trust will manage the trial in a multi person environment at the Harmonia Village and provide clinical input, yielding further data to train our AI algorithms. The qualitative and quantitative data analysis will be undertaken by the University of Kent to determine clinical and functional outcomes of the project.ADAPTIVE will enable people with dementia to remain in the comfortable, safe environment of their own homes, whilst giving peace of mind to carers and families and improving safety in care environments by reducing unnecessary alarm calls and supporting a new care model respectively. It aims to reduce the £26.3bn cost of Dementia to the UK economy (£8.8bn of this is combined state social and health care costs), as well as cost of dementia-related falls to the NHS.