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Articles Published Processes
9/2/2022 6:17:49 AM | Browse: 404 | Download: 1103
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Received |
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2022-02-11 15:16 |
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Peer-Review Started |
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2022-02-11 15:18 |
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First Decision by Editorial Office Director |
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2022-06-07 07:04 |
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Return for Revision |
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2022-06-07 07:04 |
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Revised |
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2022-06-19 01:04 |
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Publication Fee Transferred |
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Second Decision by Editor |
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2022-07-22 07:47 |
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Second Decision by Editor-in-Chief |
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Final Decision by Editorial Office Director |
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2022-07-25 00:26 |
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Articles in Press |
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2022-07-25 00:26 |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2022-08-26 02:54 |
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Publish the Manuscript Online |
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2022-09-02 06:17 |
| ISSN |
2307-8960 (online) |
| Open Access |
This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/Licenses/by-nc/4.0/ |
| Copyright |
©The Author(s) 2022. Published by Baishideng Publishing Group Inc. All rights reserved. |
| Article Reprints |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
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| Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
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| Publisher |
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA |
| Website |
http://www.wjgnet.com |
| Category |
Cardiac & Cardiovascular Systems |
| Manuscript Type |
Minireviews |
| Article Title |
Internet of things-based health monitoring system for early detection of cardiovascular events during COVID-19 pandemic
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| Manuscript Source |
Invited Manuscript |
| All Author List |
Sina Dami |
| ORCID |
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| Funding Agency and Grant Number |
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| Corresponding Author |
Sina Dami, PhD, Assistant Professor, Department of Computer Engineering, West Tehran Branch, Islamic Azad University, Ashrafi Esfahani Highway-End of Shahid Azari Street, Tehran 1468763785, Iran. dami@wtiau.ac.ir |
| Key Words |
Health monitoring; Early detection; Cardiovascular events; COVID-19 Pandemic; Internet of things |
| Core Tip |
This paper has focused on presenting a health monitoring system for cardiovascular disease patients during coronavirus disease 2019 pandemic. For this purpose, a new framework for early detection of cardiovascular events was proposed based on a deep learning architecture in internet of things environments. The proposed method has provided a peaceful solution for limited scalability and late detection of cardiovascular events by enabling latency-sensitive surveillance and computing of large amounts of patients’ data. |
| Publish Date |
2022-09-02 06:17 |
| Citation |
Dami S. Internet of things-based health monitoring system for early detection of cardiovascular events during COVID-19 pandemic. World J Clin Cases 2022; 10(26): 9207-9218 |
| URL |
https://www.wjgnet.com/2307-8960/full/v10/i26/9207.htm |
| DOI |
https://dx.doi.org/10.12998/wjcc.v10.i26.9207 |
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