Home-Based IoT Digital Biomarkers for Early Detection of Neuropsychiatric Symptoms and Cognitive Decline in Alzheimer’s Disease
Year: 2026
Type: other
Abstract: This project investigates privacy-preserving, home-based IoT sensing as a source of digital behavioural biomarkers for early cognitive impairment and neuropsychiatric symptoms in Alzheimer’s disease (AD). Longitudinal in-home behavioural data will be analysed alongside clinical cognitive assessments, including MoCA and/or MMSE where available, and neuropsychiatric symptom measures. The study will identify temporal and behavioural patterns associated with apathy, anxiety, depression, and cognitive decline. Interpretable machine-learning models with leakage-resistant validation will be used to evaluate the potential of these digital biomarkers for early screening and continuous monitoring in community-dwelling older adults.
Source: California Digital Library
DOI: 10.48321/d1b8c1e628
Author: Xiang Ji
Institution: Chinese University of Hong Kong
Language: English
Subfield: Psychiatry and Mental health
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W7171558557
Cites:
Cited by:
Related to: