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

基于人工智能的辅助

• 批准号: 68239
• 金额: $ 50.06万
• 依托单位: MIICARE LTD
• 依托单位国家: 英国
• 项目类别: Study
• 财政年份: 2020
• 资助国家: 英国
• 起止时间: 2020 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=68239
• 关键词: AI; based; Assistive; Passive; Technology

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.

miiCARE Ltd旨在通过ADAPTIVE项目开发一种非穿戴式辅助生活医疗保健解决方案，结合基于人工智能的新型机器学习能力，学习老年受试者脚步声的声学特征，以预测福尔斯跌倒的可能性，与其他健康状况相关的姿势变化或认知问题（如痴呆症）的进展。该解决方案是专门为解决痴呆症患者（PLWD）未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针对痴呆症设计的，而是要求患有痴呆症的用户通过佩戴指示福尔斯跌倒的设备（在跌倒发生后）来适应该技术。ADAPTIVE扩展了miiCARE的创新物联网解决方案（miiCUBE），并在声学事件检测中使用新兴技术来预测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艾滋病患者在自己家中的生活质量。miiCUBE的可行性已经通过肯特的老年家庭（非痴呆症）试验得到了证明，展示了几个成功的用例。ADAPTIVE项目将通过开发新型AI来专门评估PLWD的跌倒风险和监测其他痛苦行为，从而赋予miiCUBE音频监测功能，这将有助于改善整体痴呆症护理的提供。初步试验将在布里斯托社区的50名患有和没有痴呆症的老年人中进行。经过初步试验和迭代，ADAPTIVE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为居民造福。东肯特医院NHS信托基金将在Harmonia Village的多人环境中管理试验，并提供临床输入，产生进一步的数据来训练我们的AI算法。肯特大学将进行定性和定量数据分析，以确定该项目的临床和功能结果。ADAPTIVE将使痴呆症患者留在舒适，安全的环境中自己的家，同时让照顾者和家庭安心，并通过减少不必要的报警电话和支持新的护理模式来提高护理环境的安全性。它旨在减少痴呆症给英国经济带来的263亿英镑的成本（其中88亿英镑是国家社会和医疗保健成本的总和），以及与痴呆症相关的福尔斯下降给NHS带来的成本。