A Stage-Adaptive Smart Monitoring and Safety Framework for Alzheimer’s Disease: A Review

Abstract

Alzheimer’s disease is a progressive and chronic neurological disorder that causes the gradual deterioration of memory, cognitive functions, and independent living, which presents a major challenge to patients, caregivers, and health care providers. [1], [2] The AI-based monitoring system is intended to assist people who have been affected by Alzheimer’s disease. The research focuses on the fundamental aspects of the monitoring system, which include the recording of day-to-day activities, the provision of medication reminders, the tracking of the person’s location using GPS technology, the detection of abnormal behavior, and remote monitoring of the patient’s activities by the caregiver. [4] It also evaluates the role of artificial intelligence in analysing behavioural patterns, identifying potential safety risks, and delivering personalized care recommendations. [8] Moreover, this review considers various factors such as usability, reliability, data security, privacy, etc., of the system, which are essential in the development of healthcare solutions. Additionally, the paper has identified the limitations of the existing Alzheimer’s care technologies, which have to be addressed to improve the intelligent monitoring systems. The findings of the paper reveal that the intelligent monitoring system can be improved by using mobile health technologies along with artificial intelligence analytics. [3], [5] Smart digital healthcare solutions provide an extraordinary way to deliver better care for Alzheimer's patients and their families. The review offers valuable references for research and implementation of new drugs, and also highlights the ongoing need to develop effective and low-cost Alzheimer's disease management systems.

Keywords: Alzheimer’s Disease, Geo-fencing, Location Tracking, Caregiver Monitoring, Cognitive Assistance