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Title Embedded System For Chronic Disease Patient Monitoring Using Iot
ID_Doc 22692
Authors Kiran; Parameshahcari B.D.; Sunil Kumar D.S.
Year 2023
Published 2023 International Conference on Data Science and Network Security, ICDSNS 2023
DOI http://dx.doi.org/10.1109/ICDSNS58469.2023.10245105
Abstract Innovative applications including smart cities, smart homes, education, healthcare, transportation, and defense operations all depend on the Internet of Things (IoT). IoT applications are very helpful for the delivery of healthcare since they allow for safe and real-time remote patient monitoring enhancing people's lives. The goal of this study is to create an embedded system for tracking patients with chronic diseases that require regular checkups. This embedded system uses a Raspberry Pi 4b to gather data from several sensors installed in patients' bodies, and their data is constantly saved, analyzed and processed to extract vital details about their health and transfer it safely with the help of security encryption to the IoT cloud where it is organized into an interface making it easier to use and understand, which allows users like doctors to easily access patients' data and observing their health state from any place in the world. To enhance the functionality of the system, a warning system has been integrated into the IoT platform, which warns the doctor when the patient enters an abnormal state. A notification is also delivered to the doctor's mobile device if any parameter's value exceeds the cutoff. Because of this, IOT-based real-time health monitoring systems meticulously check patient health and, when necessary, save lives. © 2023 IEEE.
Author Keywords Chronic Disease; Embedded system; Health; IoT Platform; patients; Security Encryption; Sensors


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