Patient Health Monitoring based on Cloud Computing using the Message Queuing Telemetry Transport Protocol

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

Abdul Rahaim Laith A.; Jassim Shahad W.

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: MAJLESI JOURNAL OF ELECTRICAL ENGINEERING Year:2023 | Volume:17 | Issue:3 Page(s): 109-116

Download Full-Text

View:

Download:

Cites:

Information Journal Paper

Title

Patient Health Monitoring based on Cloud Computing using the Message Queuing Telemetry Transport Protocol

Author(s)

Abdul Rahaim Laith A. | Jassim Shahad W. | Issue Writer Certificate

Keywords

Healthcare

Internet of things

ESP32

ICU

Monitoring

ECG

Respiratory monitoring

SpO2

Message Queuing Telemetry Transport protocol

Arduino

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'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.

Multimedia

No record.

Cites

No record.

References

No record.

Cite

Related Journal Papers

No record.

Related Seminar Papers

No record.

Related Plans