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

通过多感官智能手机应用程序管理痴呆症以支持就地养老

• 批准号: 9339726
• 负责人: Tanvi Banerjee
• 金额: $ 17.02万
• 依托单位: WRIGHT STATE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-09-01 至 2019-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9339726
• 关键词: Address; Aging; Alzheimer' s Disease; Area; Assisted Living Facilities; Bayesian Modeling; Behavior; Caregiver Burden; Caregivers; Caring; Cellular Phone; Chronic; Clinical; Clinical Research; Collaborations; Community Health; Couples; Custom; Data; Data Analyses; Dementia; Dementia caregivers; Development; Development Plans; Diagnosis; Early Intervention; Elderly; Engineering; Ensure; Geriatrics; Goals; Health; Healthcare; Home environment; Impaired cognition; Individual; Industry; Intervention; K-Series Research Career Programs; Knowledge; Learning; Longitudinal Studies; Longitudinal observational study; Machine Learning; Maps; Mentors; Methods; Missouri; Modality; Modeling; Monitor; Participant; Patients; Pattern; Persons; Physiological; Pilot Projects; Quality of life; Questionnaires; Recruitment Activity; Reporting; Research; Research Assistant; Research Personnel; Semantics; Signal Transduction; Stress; Structure; Symptoms; System; Technology; Testing; Time; Universities; Validation; Work; aged; base; behavior change; career development; cohort; computer based statistical methods; computer science; cost; data modeling; design; digital; experience; fitness; improved; individual patient; instructor; instrument; learned behavior; medical schools; meetings; member; mild cognitive impairment; mobile application; multisensory; primary caregiver; professor; programs; rehabilitation technology; research clinical testing; sensor; support tools; trait; usability; web app

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.

总结