relation: https://khub.utp.edu.my/scholars/17276/
title: Data Analytics and Visualization of Remote Healthcare Monitoring System
creator: Zulkafli, S.M.
creator: Ariffin, M.M.
creator: Zakariya, A.
description: 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.
publisher: Institute of Electrical and Electronics Engineers Inc.
date: 2022
type: Conference or Workshop Item
type: PeerReviewed
identifier:   Zulkafli, S.M. and Ariffin, M.M. and Zakariya, A.  (2022) Data Analytics and Visualization of Remote Healthcare Monitoring System.  In: UNSPECIFIED.     
relation: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85147417418&doi=10.1109%2fICCUBEA54992.2022.10010938&partnerID=40&md5=6d318a35802e7824b1bda7c9da6ecbbf
relation: 10.1109/ICCUBEA54992.2022.10010938
identifier: 10.1109/ICCUBEA54992.2022.10010938