Non-Invasive Blood Glucose Estimator using Arduino and NodeMCU

Abstract This paper is designed to revolutionize healthcare delivery by enabling real-time, remote monitoring of key health parameters. The system uses IoT-based sensors to continuously track vital signs like weight, body temperature, blood pressure, heart rate, and SpO₂. The data collected is transmitted wirelessly to healthcare providers via cloud technology, allowing doctors to monitor patients anywhere. This system is particularly beneficial for elderly, chronic, and rural patients who may face challenges in accessing healthcare services regularly. By providing continuous monitoring, the system aids in the early detection of health issues, potentially preventing serious medical emergencies. It also generates instant alerts for abnormal readings, ensuring timely medical intervention. The system reduces the need for frequent hospital visits, saving both time and healthcare costs. Additionally, all patient data is securely stored in the cloud, providing long-term tracking and analysis for better treatment planning. The IoT-Enabled Smart Healthcare System is cost-effective, scalable, and user-friendly, making it a practical solution for both personal and clinical use. Ultimately, this system enhances healthcare accessibility, efficiency, and quality, enabling smarter, faster, and more connected healthcare services. Keywords: Non-Invasive Glucose Monitoring, Near-Infrared (NIR) Sensor, Arduino, NodeMCU, IoT, Wireless Health Monitoring, Real-Time Data, Blynk Application, Smart Healthcare, Remote Patient Monitoring.