IOT-based healthcare monitoring and alert system

Leung, Rachel Onn Yneng (2025) IOT-based healthcare monitoring and alert system. Final Year Project, UTAR.

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Abstract

In order to safeguard people's health, we want efficient healthcare solutions as the number of health issues worldwide rises. One proposed solution for this problem is a real-time Internet of Things (IoT)-based health monitoring system. People may now easily check their vital signs from home using new technology, eliminating the need for them to visit hospitals. This is especially helpful for those who reside in remote or rural areas with limited access to healthcare. This lowers healthcare costs while simultaneously saving time. Additionally, hospitals may monitor their patients' vital signs with this equipment. With the use of IoT, doctors can rapidly and efficiently get relevant patient data, enabling them to make the best judgements. The goal of this project is to present an intuitive IoT-based healthcare monitoring and alarm system that gives people proactive tools to effectively manage their health. The system makes use of sensors to record vital indications such as body temperature, heart rate, and activity level, giving the user useful information. a central processing unit with the capacity to manage several inputs from different sensors. Comprehensive health data is collected using an accelerometer, temperature sensor, and pulse sensor. For accurate analysis, these inputs are transformed from analog to digital format The collected data is processed and analyzed in real-time, and efficient data storage and retrieval are accomplished by utilizing a robust database management system. A user-friendly interface makes it easy and straightforward for patients and medical professionals to access and evaluate health data. Area of Study (Minimum 1 and Maximum 2): Internet of Things, Healthcare Technology Keywords (Minimum 5 and Maximum 10): Data Collection in IoT, Monitoring Application, Biomedical Sensor Technology, Vital Signs Measurement, Real-time Data, Data Analysis, Alert System, Health Data Logging, Data Visualization

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