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

Abd Elgawad, Yahia Zakria; Youssef, Mohamed I.; Nasser, Tarek Mahmoud; Almslmany, Amir; S. I. Amar, Ahmed; Mohamed, Abdelrhman Adel; Parchin, Naser Ojaroudi; Abd-Alhameed, Raed A.; Mohamed, Heba G.; Moussa, Karim H.


Yahia Zakria Abd Elgawad

Mohamed I. Youssef

Tarek Mahmoud Nasser

Amir Almslmany

Ahmed S. I. Amar

Abdelrhman Adel Mohamed

Raed A. Abd-Alhameed

Heba G. Mohamed

Karim H. Moussa


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.

Journal Article Type Article
Acceptance Date Jul 18, 2022
Online Publication Date Jul 21, 2022
Publication Date 2022
Deposit Date Aug 10, 2022
Publicly Available Date Aug 10, 2022
Journal Healthcare
Publisher MDPI
Peer Reviewed Peer Reviewed
Volume 10
Issue 7
Article Number 1357
Keywords COVID-19; fuzzy logic; GSR; heart rate; IoT; machine learning; medical devices; microcontrollers
Public URL


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