Real-Time Patient Tracking with IoT-Based Wireless Health Monitoring System

Abstract

Advancements in wireless communication technologies have facilitated the widespread adoption of remote health monitoring systems. Especially with the aging population, the monitoring of increasing chronic diseases has become an important requirement in healthcare services. This study aims to develop a wireless health monitoring system to enable real-time tracking of patients' vital signals such as electrocardiography (ECG), electrooculography (EOG), electromyography (EMG), pulse rate and body temperature through Wi-Fi-based communication. The system transfers the obtained health data to the ThingSpeak platform through an Internet of Things (IoT) supported communication network, where real-time and historical health data is analyzed. Additionally, ECG, EOG and EMG data is recorded and visualized graphically. Thus, patients can interact remotely with their doctors about their health conditions without going to the hospital, and quick interventions can be provided. This system offers a low-cost and accessible solution for individuals living in rural areas where hospitals are not available. The study's results indicate that wireless health monitoring technologies are an effective and sustainable method for remote patient monitoring. Also, the accuracy of the proposed system was validated against a commercial medical device, yielding low measurement errors of 3.03% for pulse and 0.81% for body temperature, demonstrating its reliability for real-time remote monitoring.

Keywords

• Wireless health monitoring
• IoT
• Biomedical signals
• ThingSpeak

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