Addressing Mild Cognitive Impairment and Boosting Wellness for the Elderly through Personalized Remote Monitoring

Area of Science:

• Gerontology
• Artificial Intelligence
• Health Informatics

Background:

• Aging populations worldwide face increased risks of cognitive decline.
• Mild cognitive impairment (MCI) significantly impacts elderly quality of life, health, and independence.
• Early diagnosis and personalized interventions are crucial for managing MCI.

Purpose of the Study:

• To introduce RO-SmartAgeing, a novel system for MCI detection and management in Romania.
• To establish criteria for evaluating the impact of remote health monitoring systems for MCI.
• To enhance independent living for the elderly through smart home technology.

Main Methods:

• Development of the RO-SmartAgeing system using iterative design, literature reviews, and expert consultations.
• Integration of multivariate AI-based predictive models for MCI onset and progression detection.
• Testing within a simulated home environment to assess system functionality and impact.

Main Results:

• The RO-SmartAgeing system provides non-invasive remote monitoring, health assessment, and personalized assistance.
• AI models are designed to detect early signs of MCI and predict progression to dementia.
• The system supports elderly independence while ensuring safety, comfort, and privacy.

Conclusions:

• RO-SmartAgeing demonstrates significant potential for early MCI detection and monitoring.
• The system empowers healthcare institutions with continuous patient oversight and timely interventions.
• RO-SmartAgeing facilitates independent living for the elderly, improving health outcomes and quality of life.