Year: 2025
Type: article
Abstract: Nowadays people are more concerned about their health as diseases are increasing day by day and more. Hence this is very important to daily monitor health to minimize death caused by complications and diseases. The integration of the Internet of Things (IoT) in healthcare presents transformative opportunities for managing neuropsychiatric diseases. In Rwanda, where mental health care faces challenges such as limited accessibility and resource constraints, IoT-driven solutions offer innovative pathways to improve remote monitoring, diagnosis, and treatment. The study introduces smart wearable integration with IoT, where customized devices such as wristbands, smart rings, and patches with EEG, ECG, and stress level sensors enable continuous patient health tracking and mood detection. Additionally, IoT-based geofencing for emergency alerts is incorporated to track patient location using RFID and GPS, ensuring immediate intervention if a patient wanders outside a designated safe zone. These innovations enhance real-time monitoring, improve treatment adherence, and strengthen mental healthcare accessibility. In an Internet of Things setting, it suggests a smart health remote monitor system that can track a patient's current location and basic health indicators in real-time. Sensors such as a heartbeat sensor, body temperature sensor, ECG, EEG, and RFID with GPS sensors connected to a microcontroller to control hardware modules and a GSM module, as well as a communication network that connects to the servers, will be utilized in this system to collect data from the patient's body. The medical staff will get the patients' condition through a portal, where they may process and evaluate the patient's current state. The family members will receive the information instantly. The study seeks to bridge healthcare accessibility gaps, improve patient outcomes, and contribute to the advancement of digital mental healthcare systems in Rwanda.
Authors: Marc Uwiragiye, Dr. Djuma Sumbiri
Institution: University of Lay Adventists of Kigali
Language: English
Topic: Internet of Things and AI
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4411111957