Publication Name	World Journal of Clinical Cases
Manuscript ID	75725
Country	Iran

Received	2022-02-11 15:16
Peer-Review Started	2022-02-11 15:18
To Make the First Decision
Return for Revision	2022-06-07 07:04
Revised	2022-06-19 01:04
Second Decision	2022-07-22 07:47
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief	2022-07-25 00:26
Articles in Press	2022-07-25 00:26
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript	2022-08-26 02:54
Publish the Manuscript Online	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/
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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
Manuscript Source	Invited Manuscript
All Author List	Sina Dami
ORCID	Author(s) ORCID Number Sina Dami http://orcid.org/0000-0002-1309-5913
Funding Agency and Grant Number
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

Full Article (PDF)	WJCC-10-9207.pdf
Full Article (Word)	WJCC-10-9207.docx
Manuscript File	75725_Auto_Edited-LS.docx
Answering Reviewers	75725-Answering reviewers.pdf
Audio Core Tip	75725-Audio core tip.mp3
Conflict-of-Interest Disclosure Form	75725-Conflict-of-interest statement.pdf
Copyright License Agreement	75725-Copyright license agreement.pdf
Non-Native Speakers of English Editing Certificate	75725-Language certificate.pdf
Peer-review Report	75725-Peer-review(s).pdf
Scientific Editor Work List	75725-Scientific editor work list.pdf