Portable and Real-Time IoT-Based Healthcare Monitoring System for Daily Medical Applications

• Published in: IEEE transactions on computational social systems 2023-08, Vol.10 (4), p.1629-1641
• Main Authors: Siam, Ali I., El-Affendi, Mohammed A., Elazm, Atef Abou, El-Banby, Ghada M., El-Bahnasawy, Nirmeen A., El-Samie, Fathi E. Abd, El-Latif, Ahmed A. Abd
• Format: Article
• Language: English
• Subjects: Abnormalities; Applications programs; Biomedical monitoring; Body temperature; Cloud computing; Electrocardiography; ESP8266; Health care; Heart rate; Internet of Things; Internet of Things (IoT); Medical electronics; medical sensors; Medical services; Mobile computing; Monitoring; Monitoring systems; Oxygen content; Portability; real-time monitoring; remote health monitoring; Remote monitoring; Room temperature; Sensors; Statistical tests; Telemedicine; Temperature measurement; Temperature sensors
• ISSN: 2329-924X; 2373-7476
• DOI: 10.1109/TCSS.2022.3207562

Remote healthcare and telemedicine technology have witnessed a large and rapid development in the last decade with the large development of the Internet of Things (IoT) technology, where various types of medical sensors are aggregated for measuring medical parameters and transmitting them anywhere. Smart portable products can now be used to monitor different medical aspects to track human health. Also, they can be used in the prediagnosis of various diseases and in detecting abnormalities of organ functionality. In this article, we design and implement a multifunction and portable health monitoring system, which can help in daily medical inspections. The developed system monitors various medical aspects: heart rate (HR), blood oxygen saturation level (SpO2), body temperature, photoplethysmography (PPG) signal, electrocardiography (ECG) signal, room temperature, and room humidity. The obtained measurements are displayed on the built-in display or transmitted over Wi-Fi to either a mobile application, in the local mode, or to the cloud storage for remote monitoring. The developed system can be used to keep an eye on the people we need to care about, while keeping them in their normal daily life. The maximum error percentage of the proposed system is reported as 2.67%, 2.04%, and 1.58% for HR, SpO2, and body temperature, respectively, compared to commercial devices. In addition, statistical tests were performed and they showed a high level of agreement between the observed and the reference measurements. The results indicate the high accuracy and effectiveness of the proposed system to be used in daily medical applications.