IoT-Based Coma Patient Monitoring System
Hailemicael Lulseged Yimer, Hailegabriel Dereje Degefa, Marco, Cristani, Federico Cunico

TL;DR
This paper introduces a low-cost, IoT-based monitoring system for coma patients suitable for resource-limited settings, providing continuous vital sign tracking and alerts with minimal infrastructure.
Contribution
It presents a scalable, affordable, and resilient IoT solution using open-source hardware and software tailored for developing countries' healthcare needs.
Findings
System costs under $30
Operates effectively with limited internet and power
Provides real-time alerts for critical events
Abstract
Continuous monitoring of coma patients is essential but challenging, especially in developing countries with limited resources, staff, and infrastructure. This paper presents a low-cost IoT-based system designed for such environments. It uses affordable hardware and robust software to monitor patients without constant internet access or extensive medical personnel. The system employs cost-effective sensors to track vital signs, including heart rate, body temperature, blood pressure, eye movement, and body position. An energy-efficient microcontroller processes data locally, synchronizing with a central server when network access is available. A locally hosted app provides on-site access to patient data, while a GSM module sends immediate alerts for critical events, even in areas with limited cellular coverage. This solution emphasizes ease of deployment, minimal maintenance, and…
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Taxonomy
TopicsCOVID-19 diagnosis using AI · Non-Invasive Vital Sign Monitoring · Artificial Intelligence in Healthcare
