利用技术和人工智能方法促进老年人的独立性和适应能力-猫眼课题宝

利用技术和人工智能方法促进老年人的独立性和适应能力

批准号：

10652011

负责人：

Peter M. Abadir

金额：

$27.81万

依托单位：

JOHNS HOPKINS UNIVERSITY

依托单位国家：

美国

项目类别：

财政年份：

2021

资助国家：

美国

项目状态：

未结题

起止时间：

2021-09-30 至 2026-05-31

来源：

https://reporter.nih.gov/project-details/10652011

关键词：

Addendum Adverse effects Affect Agitation Alzheimer&apos s disease related dementia American Anger Antipsychotic Agents Artificial Intelligence Assisted Living Facilities Awareness Beds Behavior Boredom Brain Budgets COVID-19 Calendar Canada Caregivers Caring Cessation of life Classification Client Clinical Code Collaborations Computer software Country Data Data Analyses Data Set Databases Dementia Dementia caregivers Depressed mood Detection Development Development Plans Direct Costs Discipline of Nursing Disinfection Distress Docking Drug Prescriptions Ear Economics Effectiveness Elderly Electronic Mail Emerging Technologies Emotional Emotions Equipment and supply inventories Evaluation Eye Face Facial Expression Facial Muscles Facilities and Administrative Costs Family Feeling First Name France Frequencies Fright Fringe Benefit Funding Funding Agency Future Generations Gifts Goals Grant Happiness Health Health Technology Healthcare Home Hour Human Human Resources Impaired cognition Industry Institution Institutional Review Boards Instruction Internet Intervention Israel Japan Knowledge Language Last Name Lead Life LinkedIn Loneliness Long-Term Care Machine Learning Manuscripts Maps Measurement Mediation Memory Mentors Mind Movement Muscle Music National Institute on Aging North America Nurses Nursing Homes Participant Patients Pattern Personal Satisfaction Persons Pharmaceutical Preparations Pilot Projects Play Population Positioning Attribute Process Provider Psychologist Public Health Schools Quality of Care Quality of life Recording of previous events Research Research Assistant Research Personnel Resources Robot Role Sampling Schedule Science Sensory Services Side Small Business Innovation Research Grant Software Engineering Standardization Stress Structure Supervision System Systems Analysis Techniques Technology Telephone Testing Thinking Time TimeLine Training United States United States National Institutes of Health Universities Validation Verbal Behavior Visit Visiting Nurse Work base behavior measurement college community living computer science cost cost effective design digital health effectiveness trial engineering design experience fall risk feasibility testing fitness healthy aging human subject implementation barriers improved indexing innovation instrument loved ones member movement analysis neuropsychiatric symptom neuropsychiatry off-label use pilot test programs recruit research and development resilience software development staff intervention tool translational impact usability web site

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英文摘要

Detecting Agitation in Persons with AD/ADRD in a Nursing Home Using AI-based Facial Expression Analysis ABSTRACT 50% of nursing home residents have moderate or severe cognitive impairment. Persons with advanced AD/ADRD are often no longer able to communicate verbally. Agitation, which is found in 80% of residents with AD/ADRD, can pose a major problem for the resident, their family and professional caregivers. The inability to successfully manage AD/ADRD behaviors, often results in increased burden on caregivers and use of antipsychotic and other psychotropic medications which may have severe adverse effects. COVID-19 has also increased agitation incidents among residents with AD/ADRD and increased distress levels in both residents and caregivers. In this project we will integrate an AI-based facial expression analysis software with an autonomous navigating robot and validate that the integrated system can visit nursing home residents with advanced AD/ADRD and detect agitation.

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