Abstract
Smart health surveillance technology has attracted wide attention between patients and professionals or specialists to provide early detection of critical abnormal situations without the need to be in direct contact with the patient. This paper presents a secure smart monitoring portable multivital signal system based on Internet-of-Things (IoT) technology. The implemented system is designed to measure the key health parameters: heart rate (HR), blood oxygen saturation (SpO2), and body temperature, simultaneously. The captured physiological signals are processed and encrypted using the Advanced Encryption Standard (AES) algorithm before sending them to the cloud. An ESP8266 integrated unit is used for processing, encryption, and providing connectivity to the cloud over Wi-Fi. On the other side, trusted medical organization servers receive and decrypt the measurements and display the values on the monitoring dashboard for the authorized specialists. The proposed system measurements are compared with a number of commercial medical devices. Results demonstrate that the measurements of the proposed system are within the 95% confidence interval. Moreover, Root Mean Squared Error (RMSE), Mean Absolute Error (MAE), and Mean Relative Error (MRE) for the proposed system are calculated as 1.44, 1.12, and 0.012, respectively, for HR, 1.13, 0.92, and 0.009, respectively, for SpO2, and 0.13, 0.11, and 0.003, respectively, for body temperature. These results demonstrate the high accuracy and reliability of the proposed system.
Highlights
Many inventors and researchers have competed to create new systems that help specialists to diagnose and possibly treat some diseases
There are few contributions in the literature on medical emergency applications adopting IoT and cloud computing technologies. Some of those introduced techniques have critical problems with medical data security and real-time communication. e traditional health monitoring systems are believed not to achieve adequate security, and they are not recommended for real-time communication
Advanced Encryption Standard (AES) algorithm is selected to encrypt the sensor readings, because it is simple to be implemented within the hardware using the appropriate software library, unlike other encryption algorithms, which may not be supported to be implemented in the hardware devices
Summary
Many inventors and researchers have competed to create new systems that help specialists to diagnose and possibly treat some diseases. (i) A low cost and accurate health monitoring system is implemented to monitor the heart rate, blood oxygen saturation, and body temperature of patients without the need to be in direct contact with specialists (ii) Multiple medical sensors are incorporated with a compact and powerful microcontroller chip in a small-sized device with the help of IoT infrastructure. The proposed framework keeps the privacy and integrity of patient data (iv) End-to-end security for medical records is ensured between the patient node and the healthcare center (v) e proposed system relies on a Wi-Fi-based connection, which provides fast communication between the patient module and the specialists module with low power consumption compared to other technologies e rest of this paper is organized as follows.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
