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An Efficient IoT-based Mobile Application for Continuous Monitoring of Patients

S. Afifi,Andrew Emad,R. Taha,M. Baig

2023 · DOI: 10.1109/IEEECONF58974.2023.10404207
4 Citations

Abstract

Internet of Things (IoT) is gaining much popularity nowadays, especially in the field of healthcare, where different wearables, sensors and data analysis-based systems are connected together. This research work proposes an IoT-based system/application dedicated for continuous monitoring of the patient’s health parameters and vital signs. The designed application can be used by both the patient and the doctor as the doctor can track the patient’s parameters remotely in real-time to facilitate the diagnosis and to early detect patient’s health deterioration. It also enables patients to spend more time in the comfort of their own homes and communicate with their care facilities, aiming to improve the patient’s independent living and support activities of daily life. The biosensors in the smart watch or the mobile phone are utilized to measure the health parameters of the patient, which are then used by the devloped application for further processing, analysis and efficient visualization using charts and diagrams. A notification is sent to the monitoring doctor to facilitate rapid response once any of the patient’s vital signs exceeds the normal range. The developed application could be integrated within an existing hospital system or could be made available to individuals/patients via smartphones for providing support at home.Clinical Relevance: Doctors are always in need to have exact health information for their patients to receive care and therapy in a timely manner. The task of ongoing monitoring of patients’ vital signs is carried out by nurses in the interim, but the availability of a skilled and sizable team of nurses is a major concern. Thus, we propose an efficient continuous monitoring system that automates and facilitates the process of remote and continuous monitoring of patients, targeting early detection of patient deterioration while supporting independent living.