Intelligent Systems for Detection of Aging Changes

描述（由申请人提供）：我们快速老龄化的人口将导致越来越多的人面临因痴呆、虚弱和其他老龄化综合症而丧失独立能力的风险。不断发展的传感器和其他技术现在提供了一种早期发现和干预的手段，可以最大限度地降低发病率和成本。我们假设，对活动（运动和认知）进行综合、连续和不显眼的家庭监测，可以发现对维持认知和身体健康重要的过渡性或早期信号事件。为了验证我们的假设并进一步发展由此产生的新的临床范例，领导机构俄勒冈健康与科学大学（OHSU）将建立一个新的生物工程研究伙伴关系（BRP），包括OHSU的莱顿衰老和阿尔茨海默病中心、生物医学工程系和皇家中心，以及行业合作伙伴Spry Learning、Elite Care、Pultronics、HomeFree、通用电气、惠普和英特尔。整个工作将由OHSU莱顿和皇家中心的杰弗里·凯伊以及生物工程首席调查员迈克尔·帕维尔和塔玛拉·海耶斯领导。首席研究员，来自英特尔的Eric Dishman将提供技术行业的专业知识，并与其他合作伙伴的领导人一起进行整合。该BRP将致力于在现实世界环境中开发和测试不显眼的智能系统，用于整合活动和临床状态，并最终为建立适当的健康维护和疾病预防或干预策略提供必要的关键反馈。因此，我们的具体目标是：1)确定在典型社区环境中，对运动和认知活动进行连续、不显眼的监测是否能检测到老年人的认知能力下降；2)开发新的算法和评估技术，用于检测这些社区环境和正在进行的BRP背景下的运动和认知变化，以测试不断发展的传感器技术；3)确定非专业人员和卫生保健专业人员的监测需求和最佳沟通渠道。作为这项研究的结果，该BRP将：建立一个配备集成传感系统的家庭社区生活实验室，以确定早期认知衰退，并使用这种方法确定最早的认知变化点；确定最佳预测器和数据融合，从而实现早期发现；在进行纵向研究的同时，建立一个快速跟踪系统，对新的传感器系统进行不显眼的现场测试；并就这些持续评估技术的实施和应用建立共享的数据、专业知识和社区态度资源，以便将来在卫生保健中积极应用。

DESCRIPTION (provided by applicant): Our rapidly aging population will result in an increasing number of people at risk for loss of independence through dementia, frailty and other syndromes of aging. Evolving sensor and other technologies now provide a means of early detection and intervention minimizing morbidity and cost. We hypothesize that integrated, continuous and unobtrusive home monitoring of activity (motor and cognitive) can detect transitional or early signal events important for maintaining cognitive and physical health. To test our hypothesis and to further develop the resulting new clinical paradigm, lead institution Oregon Health & Science University (OHSU) will establish a novel Bioengineering Research Partnership (BRP) including OHSU's Layton Aging and Alzheimer's Disease Center, Biomedical Engineering Department, and Roybal Center, and industry partners Spry Learning, Elite Care, Pultronics, HomeFree, General Electric, Hewlett Packard and Intel. The overall effort will be led by Jeffrey Kaye of the OHSU Layton and Roybal Centers, along with bioengineering Lead Investigators Michael Pavel and Tamara Hayes. Lead Investigator, Eric Dishman from Intel will provide technology industry expertise and integration in concert with leaders from the other partners. This BRP will be dedicated to developing and testing in real world environments unobtrusive intelligent systems for integrating activities and clinical status and ultimately providing the key feedback necessary for instituting appropriate health maintenance, and illness prevention or intervention strategies. Thus our specific aims are to: 1) Determine if continuous, unobtrusive monitoring of motor and cognitive activities detects incident cognitive decline in seniors living in typical community settings; 2) Develop novel algorithms and assessment techniques for detecting motor and cognitive change in these community settings and in the context of the ongoing BRP, to test evolving sensor technology; and 3) Identify the monitoring needs of, and optimal communication channels, for lay individuals and health care professionals. As a result of this research this BRP will: establish a community living laboratory of homes outfitted with integrated sensing systems to determine early cognitive decline and identify the earliest points of cognitive change using this methodology; identify the optimal predictors and data fusion that will result in early detection; establish a fast track system for unobtrusively field-testing new sensor systems while an ongoing longitudinal study is conducted; and create a shared resource of data, expertise and community attitudes about the conduct and application of these continuous assessment techniques for future proactive application in health care.