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    New Method to Implement and Analysis of Medical System in Real Time

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    Publication date
    2022-07
    Author
    Abd Elgawad, Y.Z.
    Youssef, M.I.
    Nasser, T.M.
    Almslmany, A.
    Amar, A.S.I.
    Mohamed, A.A.
    Ojaroudi Parchin, Naser
    Abd-Alhameed, Raed A.
    Mohamed, H.G.
    Moussa, K.H.
    Keyword
    COVID-19
    Fuzzy logic
    GSR
    Heart rate
    IoT
    Machine learning
    Medical devices
    Microcontrollers
    Rights
    © 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/).
    Peer-Reviewed
    Yes
    Open Access status
    openAccess
    
    Metadata
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    Abstract
    The use of information technology and technological medical devices has contributed significantly to the transformation of healthcare. Despite that, many problems have arisen in diagnosing or predicting diseases, either as a result of human errors or lack of accuracy of measurements. Therefore, this paper aims to provide an integrated health monitoring system to measure vital parameters and diagnose or predict disease. Through this work, the percentage of various gases in the blood through breathing is determined, vital parameters are measured and their effect on feelings is analyzed. A supervised learning model is configured to predict and diagnose based on biometric measurements. All results were compared with the results of the Omron device as a reference device. The results proved that the proposed design overcame many problems as it contributed to expanding the database of vital parameters and providing analysis on the effect of emotions on vital indicators. The accuracy of the measurements also reached 98.8% and the accuracy of diagnosing COVID-19 was 64%. The work also presents a user interface model for clinicians as well as for smartphones using the Internet of things.
    URI
    http://hdl.handle.net/10454/19114
    Version
    Published version
    Citation
    Abd Elgawad YZ, Youssef MI, Nasser TM et al (2022) New Method to Implement and Analysis of Medical System in Real Time. Healthcare. 10(7): 1357.
    Link to publisher’s version
    https://doi.org/10.3390/healthcare10071357
    Type
    Article
    Collections
    Engineering and Informatics Publications

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