A SECURED IOT-BASED HEALTHCARE MONITORING SYSTEM
A secured IoT-based healthcare monitoring system is a technological framework designed to monitor patients' health parametric remotely using IoT technology, while ensuring the integrity, confidentiality, and availability of sensitive health data. Current healthcare monitoring often relies on manual checks or less frequent data collection, which lacks the real-time, secure, and efficient remote monitoring systems for patients' vital signs, which can lead to delayed medical responses and increased risks of severe health complications. Additionally, the transmission of sensitive health data over networks can be vulnerable to unauthorized access, compromising patient confidentiality. There is a need for an efficient, secure, and scalable solution that enables real-time monitoring of vital health parameters, ensuring both the integrity and confidentiality of the data while facilitating immediate medical intervention when required. This IoT-based healthcare monitoring system aims to address these issues by providing a reliable and secure platform for continuous patient monitoring and data transmission. The IoT-based healthcare monitoring system was developed using body sensors (LM35 for temperature and SEN 11547 for pulse) connected to an ESP32 microcontroller to collect and transmit vital health data, such as temperature, heart rate, and blood pressure, to a web server. The system utilizes a GSM module (SIM900) for communication between the microcontroller and mobile devices, while ensuring data security through two-factor authentication. A local XAMPP server stores and displays real-time data, updating every 5 seconds. The system was tested on 10 volunteers, Health parameters were measured, stored and displayed on the website, while alerts were sent to care giver registered mobile whenever there is an abnormality. It is recommended to further enhance the system's scalability, incorporate advanced encryption methods to strengthen data security, and utilize The Global Positioning System (GPS) for patient tracking and safety.
Authors : Jenny, E.F., Chukudebe, G., Ndinechi, M. and Chukwuchekwa, N.
Category : Open Access Volume (Issue) : 11(1) Date Uploaded : 7th May 2025