Managing Dementia through a Multisensory Smart Phone Application to Support Aging in Place

摘要 这项提案是为NLM赞助的K01导师职业发展奖而提出的。这个 我建议的研究涉及开发一个智能移动应用程序，该应用程序与 商用传感器，用于捕获有关行为模式的可操作信息 痴呆症患者及其主要照顾者的变化。一直贯穿 收集到的生理传感器数据，我将构建能够学习行为模式的数据模型 痴呆症患者及其照顾者的。我的研究计划包括三个阶段。 第一个阶段涉及工具验证和生成特定于上下文的基本事实或 每对参赛情侣的基准。第二阶段将包括纵向观测。 在辅助生活设施中使用第一阶段建立的系统进行研究。最终阶段将是 包括在参与者家中部署我们的系统进行纵向研究。本研究 与我的短期目标很好地结合在一起，以便更多地了解老年人面临的挑战 当它们与身体和认知能力下降作斗争时。作为一名计算机科学研究人员，我的长期 目标是致力于建立允许老年夫妇独立生活在他们的 更长的时间，并对自己的生活质量有更多的控制。我有经验 作为我在密苏里大学中心的博士学习的一部分，我从事老年护理研究 为老年护理和康复技术。我计划继续在这个领域工作，并发展 我的独立研究计划，通过使用低成本促进就地老化 传感器和机器学习分析。目前担任讲师和研究助理 莱特州立大学计算机科学与工程系教授，我有 在技术和临床领域都有强大的导师，这将使我在 跨学科领域。我的职业发展计划包括课程学习，定期与 导师和合作者，以及实际的临床研究经验，这将有助于我 制定独立的研究计划，丰富和改善老年人的生活 在接下来的几年里成为成年人。

SUMMARY This proposal is for an NLM sponsored K01 Mentored Career Development Award. The research I propose involves the development of a smart mobile application combined with commercially available sensors, to capture actionable information about behavior pattern changes in both patients with dementia and their primary caregivers. Through continuously collected physiological sensor data, I will build data models that can learn the behavior patterns of both the patient with dementia and his/her caregiver. My research plan involves three stages. The first stage involves instrument validation and generating context-specific ground truth or the baseline for each participating couple. The second stage will involve longitudinal observational study using the system built in the first stage in an assisted living facility. The final stage will involve deploying our system for a longitudinal study in the homes of our participants. This study merges well with my short term goals to learn more about the challenges faced by older adults as they battle physical and cognitive decline. As a computer science researcher, my long term goal is to work on building technologies that allow older couples to live independently in their homes for a longer time, and to have more control over their quality of life. I have experience working in eldercare research as a part of my doctoral studies in University of Missouri's Center for Eldercare and Rehabilitation Technology. I plan to continue working in this field and develop my independent research program that facilitates aging in place through the use of low cost sensors and machine learning analytics. Currently as an Instructor and Research Assistant Professor at Wright State University's Department of Computer Science and Engineering, I have strong mentors both in the technical and clinical areas that will allow me to grow in this highly interdisciplinary area. My career development plan includes coursework, regular meetings with mentors and collaborators, and practical clinical study experience that will facilitate my development of an independent research program that will enrich and improve the lives of older adults for years to come.