Development of IoT-Based Patient Health Monitoring System

Abstract

The rising necessity for the adoption of real-time health monitoring systems has affected the evolution of internet of things (IoT) based solutions in offering patient in need of quick treatment. This work concentrated on the design and development of an IoT based patient health monitoring system capable of evaluating the health condition of a given patient based on metrics including heart rate, body temperature, ambient temperature, and humidity when connected or put closed to a patient body. The ESP8266 microprocessor, which served as the system's primary processing unit, was used in the component connection. Other sensors, such as the DHT22 humidity and temperature sensor, the MAX30102 pulse oximeter, and the Body Temperature Sensor (DS18B20), were connected in order to gather real-time health data about a specific patient. This data was then visualized using the Blynk mobile application, which served as the interface that showed the patient's current state of health. Effective integration of every sensor on the microprocessor is made possible by these component's simple connection on a breadboard. Hardware setup using Arduino programming of the micro-controller was then done to guarantee the system gives accurate reading and perform as planned and fol-lowed by testing procedure. The testing revealed no variations in temperature and humidity readings when compared to a current monitoring system, therefore verifying the accuracy of these measures. But there were notable differences when the heart rate was measured most likely because of MAX30102 sensor limitations, which calls for further research and area for possible design enhancement. Moreover, the project demonstrated that IoT-based health systems, when intended to remotely monitor the health state of patient seeking treatment, may efficiently offer accurate and instantaneous data when built to be an economical substitutes to the traditional monitoring systems. This research generally helps IoT system utilization for healthcare purposes by offering a through-view of the design, testing, and implementation of patient monitoring systems that fit the increasing need for individualized care solutions.