Smart environment for IoT based disease diagnosis healthcare framework

Abstract

In this paper, a distributed framework based on the internet of things paradigm is designed for monitoring human biomedical signals in activities involving physical exertion. Development of IoT devices in the healthcare environment has revitalized multiple features of these applications. Relative to this context, a cloud-centric IoT based healthcare monitoring disease diagnosing framework is designed which predicts the potential disease with its level of severity. In this article, a system that can monitor vital sign parameters and transmits data through wireless communication was developed, and then those data transferred to the network via Wi-Fi modules. Data can be accessed at any time and represent the patient's current condition. The system developed consists of NodeMCU as a controller that has been equipped with Wi-Fi modules, Sensor MAX30100 as a pulse detector and MLX90614 sensor as a body temperature detector. This system equips a nurse or doctor to monitor the patient's data in real time through application software on web application.

URN:NBN:sciencein.jist.2024.v12.731