article · Computational Intelligence and Neuroscience
A secure, portable monitoring system has been developed using Internet of Things technology to track patient vital signs without physical contact. The device simultaneously captures three key health indicators: heart rate, blood oxygen saturation, and body temperature. An integrated ESP8266 unit handles on-board data processing, encrypts the readings using the Advanced Encryption Standard algorithm, and transmits them over Wi-Fi to cloud infrastructure. Authorised specialists access the decrypted data via a monitoring dashboard hosted on trusted medical organisation servers. When evaluated against commercial medical equipment, the system produced readings within a 95 percent confidence interval, demonstrating low error rates across all measured vital signs and confirming high measurement accuracy.
Remote health surveillance allows healthcare providers to identify critical medical changes early without needing direct physical contact with patients. Ensuring that physiological data remain encrypted during wireless transmission is essential for patient privacy. This work demonstrates that accessible Internet of Things hardware can deliver medical-grade accuracy while safeguarding sensitive health information from unauthorised access.
The technology is aimed at medical emergency surveillance and remote patient monitoring, serving authorised medical specialists and healthcare organisations. The system represents an applied and tested prototype that has been benchmarked directly against commercial medical devices. Further development would be required to transition from this experimental validation to a certified, market-ready diagnostic product.
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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 (SpO<sub>2</sub>), 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 SpO<sub>2</sub>, and 0.13, 0.11, and 0.003, respectively, for body temperature. These results demonstrate the high accuracy and reliability of the proposed system.
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DOI: 10.1155/2021/8016525
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