An Innovative Approach Based on Anomaly Detection to Evaluate Elderly Health

This paper introduces a novel approach to evaluate elderly health through anomaly detection techniques. The proposed solution aims to enhance the quality of life for the elderly by gathering and processing targeted data. Deploying various sensors and devices, the solution focuses on understanding environmental and physiological conditions impacting the well-being of the elderly, aiming to formulate personalized interventions for lifestyle improvement. Biomedical and environmental parameters, including vital signs and sleep quality, are continuously monitored non-intrusively. The collected data is partially transferred to a mobile app, providing real-time access to health information for both the elderly and caregivers. Timely anomaly detection capabilities in the system generate alerts, contributing to the safety and well-being of the elderly by enabling prompt responses to potential health issues. The solution also includes a management platform for in-depth data analysis, offering tools and reporting for facilities and medical professionals.