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| Funder | NATIONAL INSTITUTE ON AGING |
|---|---|
| Recipient Organization | Johns Hopkins University |
| Country | United States |
| Start Date | Sep 30, 2021 |
| End Date | May 31, 2026 |
| Duration | 1,704 days |
| Number of Grantees | 4 |
| Roles | Co-Investigator; Principal Investigator |
| Data Source | NIH (US) |
| Grant ID | 10652011 |
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.
Johns Hopkins University
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