A Systematic Review and Implementation of IoT-Based Pervasive Sensor-Enabled Tracking System for Dementia Patients

Area of Science:

• Gerontology
• Biomedical Engineering
• Computer Science

Background:

• Dementia affects 46.8 million globally, with lost patients facing significant risks.
• Current tracking methods lack sophistication, necessitating advanced solutions.
• Wearable technology, GPS, and the Internet of Things (IoT) offer new possibilities for patient monitoring.

Purpose of the Study:

• To systematically investigate the appropriateness of popular wearables for dementia patient tracking.
• To review wearables based on cost, technology, and application suitability.
• To propose and validate an IoT-based system for enhanced dementia patient tracking.

Main Methods:

• Systematic review of 7 popular wearables for dementia tracking.
• In-depth analysis of wearable characteristics: cost, technology, and applications.
• Implementation and validation of a novel IoT-based Force Sensor Resistance enabled System (FSRIoT).

Main Results:

• The review identified key characteristics of wearables relevant to dementia tracking.
• The proposed FSRIoT system demonstrated the effectiveness of IoT in wearable dementia tracking.
• Results indicate a promising approach for assistive physio-medical healthcare.

Conclusions:

• IoT-based wearable systems offer a sophisticated and effective solution for tracking dementia patients.
• This technology can significantly reduce risks for dementia patients and improve their quality of life.
• The findings support the development of advanced assistive healthcare solutions for dementia care.