Data Analytics and Visualization of Remote Healthcare Monitoring System

Zulkafli, S.M. and Ariffin, M.M. and Zakariya, A. (2022) Data Analytics and Visualization of Remote Healthcare Monitoring System. In: UNSPECIFIED.

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Abstract

This project proposed to develop an IoT device that is equipped with multiple sensors to monitor patients' vital readings such as body temperature, heart rate, and oxygen saturation. The IoT device will have a complete set of monitoring activities of all the vital readings and is programmable. Therefore, this device enables the doctor to monitor their patient's health remotely. The project will be using Agile methodology. The IoT device will send the data to the cloud and the data will then be extracted to an application to be further analyzed and visualized. In addition, the data that has been analyzed and visualized will be displayed on a Power Apps. This enables the doctor to not only monitor the patient's reading but also retrieve useful information based on the data analysis performed by the application. In this paper, a literature study will be performed to identify the existing healthcare monitoring system. The limitations of a remotely monitoring system will be identified. The outcome of this project will be the development of remote patient monitoring device and the data analysis and data visualization that will be displayed in a Power Apps website. © 2022 IEEE.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Additional Information: cited By 0; Conference of 6th International Conference on Computing, Communication, Control and Automation, ICCUBEA 2022 ; Conference Date: 26 August 2022 Through 27 August 2022; Conference Code:186077
Uncontrolled Keywords: Cloud analytics; Data Analytics; Data handling; Health care; Information analysis; Internet of things; Remote control; Remote patient monitoring; Visualization, Data analytics; Healthcare data; Healthcare monitoring; Monitoring system; Power; Power app; Power BI; Remote patient monitoring systems; RPMS, Data visualization
Depositing User: Mr Ahmad Suhairi UTP
Date Deposited: 19 Dec 2023 03:23
Last Modified: 19 Dec 2023 03:23
URI: https://khub.utp.edu.my/scholars/id/eprint/17276

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