Cloud-Based IoT and AWS Architecture for Real-Time Cardiovascular Patient Monitoring

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Authors: Dasaraju Chandra Mohan, Yogesh Rajkumar R
Cited by: 0

Abstract

Cardiovascular disease requires continuous and timely monitoring to avert abrupt medical catastrophes, particularly for high-risk patients who cannot stay under continual hospital observation. The Internet of Things (IoT) has been the subject of much research into healthcare monitoring systems, but current solutions have several drawbacks, such as slow cloud updates, no real-time event-driven alerting, poor integration of scalable cloud services, and restricted access for multiple users. In this study, we provide an Internet of Things (IoT) architecture that runs on Amazon Web Services (AWS) to monitor heart patients in real-time. Through the use of wearable medical sensors coupled with an Internet of Things module based on the ESP8266, the system is able to gather physiological characteristics such as heart rate, temperature, and oxygen saturation. By using MQTT and TLS authentication, the collected data is safely sent to AWS IoT Core. It is then processed in real-time by AWS Lambda and saved in DynamoDB for scalable time-series management. Notifications of critical threshold breaches are sent automatically using AWS Simple Notification Service (SNS), allowing for quick action. In addition, two dashboards built on Android are created to provide medical professionals and guardians with access to real-time visualization and monitoring. When compared to traditional cloud-IoT healthcare systems, the suggested system outperforms them in terms of end-to-end latency, alert accuracy, and scalability. The results prove that the suggested event-based monitoring framework powered by AWS is an efficient, practical, and lightweight way to keep an eye on patients’ heart health in real-time.

Fields of Study & Subjects

Internet of Things and AI IoT and Edge/Fog Computing Non-Invasive Vital Sign Monitoring

Publication details

Journal / source
International Journal of Electronics and Communication Engineering
Volume
13
Issue
2
Pages
281–290
Publication date
25 February 2026
Language
EN