Healthcare has been transformed by the Internet of Things by introducing smart, linked gadgets. This abstract presents an IoT-based healthcare device designed for comprehensive patient monitoring. The device integrates advanced sensors, including the MAX30100 for precise measurement of oxygen levels and pulse rate, the AD8232 ECG sensor for monitoring electrocardiograms, and the LM35 for tracking patient temperature. A 16 × 2 LCD provides real-time data display, offering immediate insights into the patient’s health status. Data collection and transmission are facilitated by the ESP32 microcontroller to a MERN stack-based web application. The system uses hybrid cryptography for safe storage in order to guarantee the integrity and security of patient data. The hybrid cryptography method maximizes security and improves data protection by utilizing the benefits of both symmetric and asymmetric encryption algorithms. The web application, accessible by authorized administrators, allows for updating patient information, while users are restricted to viewing data without the ability to alter patient entries. An additional access request page enables users to export collected data into a CSV file, with access requests triggering notifications to the main administrator for approval. This study examines many encryption algorithms to evaluate how well they perform in terms of complexity, encryption time, and decryption time. The project is to further the development of IoT in healthcare by offering a safe, practical, and cutting-edge method of patient monitoring.

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Enhanced IoT-Based Healthcare Device for Secure Patient Data Management Using Hybrid Cryptography

  • R. Yuvarani,
  • Mahaveerakannan

摘要

Healthcare has been transformed by the Internet of Things by introducing smart, linked gadgets. This abstract presents an IoT-based healthcare device designed for comprehensive patient monitoring. The device integrates advanced sensors, including the MAX30100 for precise measurement of oxygen levels and pulse rate, the AD8232 ECG sensor for monitoring electrocardiograms, and the LM35 for tracking patient temperature. A 16 × 2 LCD provides real-time data display, offering immediate insights into the patient’s health status. Data collection and transmission are facilitated by the ESP32 microcontroller to a MERN stack-based web application. The system uses hybrid cryptography for safe storage in order to guarantee the integrity and security of patient data. The hybrid cryptography method maximizes security and improves data protection by utilizing the benefits of both symmetric and asymmetric encryption algorithms. The web application, accessible by authorized administrators, allows for updating patient information, while users are restricted to viewing data without the ability to alter patient entries. An additional access request page enables users to export collected data into a CSV file, with access requests triggering notifications to the main administrator for approval. This study examines many encryption algorithms to evaluate how well they perform in terms of complexity, encryption time, and decryption time. The project is to further the development of IoT in healthcare by offering a safe, practical, and cutting-edge method of patient monitoring.