DementiaGuard - Integrated Digital Healthcare Solution for Dementia Care

Abstract

Alzheimer's disease (AD), a progressive neurodegenerative disorder, affects millions worldwide and presents significant challenges for both patients and caregivers. Early diagnosis and comprehensive care are essential to improving quality of life and slowing cognitive decline. However, existing approaches often lack integration between diagnosis, personalized therapy, and safety monitoring. This study introduces a web and mobile-based system that incorporates deep learning for MRI-based AD detection, tracks disease progression, and generates individualized treatment plans through an expert system. The platform includes an AI-driven voice assistant for reminiscence therapy, personalized cognitive training modules, and a real-time geolocation-based monitoring system utilizing wireless and IoT technologies. Initial evaluations indicate high classification accuracy and reduced caregiver burden. The system offers a unified approach to support cognitive health, patient safety, and caregiver assistance.

Description

Keywords

Alzheimer's Disease, Cognitive Health, Geo Fencing, MRI Analysis, Reminiscence Therapy

Citation

J. A. V. T. Jayaweera, R. A. H. B. Ranasinghe, K. A. S. N. Perera, M. S. M. Shabeer, S. Chandrasiri and D. Kasthurirathna, "Dementiaguard - Integrated Digital Healthcare Solution for Dementia Care," 2025 7th International Conference on Advancements in Computing (ICAC), Colombo, Sri Lanka, 2025, pp. 1-6, doi: 10.1109/ICAC69156.2025.11361481.

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