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		<Article>
		<Journal>
			<PublisherName>Majlesi Journal of Electrical Engineering</PublisherName>
			<JournalTitle>Patient Health Monitoring based on Cloud Computing using the Message Queuing Telemetry Transport Protocol</JournalTitle>
			<Issn></Issn>
			<Volume>Volume 17 (2023)</Volume>
			<Issue>Issue 3, September 2023</Issue>
			<PubDate PubStatus="epublish">
                <Year>2024</Year>
                <Month>02</Month>
                <Day>03</Day>
			</PubDate>
		</Journal>
		<ArticleTitle>Patient Health Monitoring based on Cloud Computing using the Message Queuing Telemetry Transport Protocol</ArticleTitle>
		<VernacularTitle></VernacularTitle>
		<FirstPage></FirstPage>
		<LastPage></LastPage>
		<ELocationID EIdType="doi">10.30486/mjee.2023.1994048.1224</ELocationID>
		<Language>EN</Language>
		<AuthorList>
            			<Author>
                				<FirstName>Laith</FirstName>
				<LastName>A. Abdul-Rahaim</LastName>
				<Affiliation>Department of Electrical Engineering, College Engineering,
University of Babylon,</Affiliation>
				<Identifier Source="ORCID">0000-0001-5893-1658</Identifier>
			</Author>
            			<Author>
                				<FirstName>Shahad</FirstName>
				<LastName>W.Jassim</LastName>
				<Affiliation>Department of Electrical Engineering, College Engineering,
University of Babylon,</Affiliation>
				<Identifier Source="ORCID"></Identifier>
			</Author>
            		</AuthorList>
		<PublicationType>Journal Article</PublicationType>
		<History>
			<PubDate PubStatus="received">
				<Year>2024</Year>
				<Month>02</Month>
				<Day>03</Day>
			</PubDate>
		</History>
		<Abstract>Recent developments in the field of internet innovation have made it feasible for new methods to be developed for the delivery of medical care. Sharing of resources may be encouraged via the use of network infrastructure and shared points of access. Patient data and clinical information make the Internet an ideal tool for the many applications that include remote patient monitoring. In this paper, we provide an experimental model that was developed for monitoring and checking on the patient&#039;s current state of health using sensors. The framework is dependent on an e-health sensor that is connected to a cloud platform. The cloud platform is responsible for collecting the data that is gathered from the sensors through the Arduino microcontroller. The data collected by the sensors includes readings from body temperature, heart rate, and oxygen. The data then is easily available for further processing, including the analysis of certain correlations between the measured parameters and the health status of the patients.</Abstract>
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				<Param Name="value">Monitoring. eCG</Param>
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						<Object Type="keyword">
				<Param Name="value">Internet of Things</Param>
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