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Monitoring Acute Heart Failure Patients Using Internet-of-Things-Based Smart Monitoring System
With technological advancements, smart health monitoring systems are gaining growing importance and popularity. Today, business trends are changing from physical infrastructure to online services. With the restrictions imposed during COVID-19, medical services have been changed. The concepts of smar...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10221603/ https://www.ncbi.nlm.nih.gov/pubmed/37430494 http://dx.doi.org/10.3390/s23104580 |
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author | Almujally, Nouf Abdullah Aljrees, Turki Saidani, Oumaima Umer, Muhammad Faheem, Zaid Bin Abuzinadah, Nihal Alnowaiser, Khaled Ashraf, Imran |
author_facet | Almujally, Nouf Abdullah Aljrees, Turki Saidani, Oumaima Umer, Muhammad Faheem, Zaid Bin Abuzinadah, Nihal Alnowaiser, Khaled Ashraf, Imran |
author_sort | Almujally, Nouf Abdullah |
collection | PubMed |
description | With technological advancements, smart health monitoring systems are gaining growing importance and popularity. Today, business trends are changing from physical infrastructure to online services. With the restrictions imposed during COVID-19, medical services have been changed. The concepts of smart homes, smart appliances, and smart medical systems have gained popularity. The Internet of Things (IoT) has revolutionized communication and data collection by incorporating smart sensors for data collection from diverse sources. In addition, it utilizes artificial intelligence (AI) approaches to control a large volume of data for better use, storing, managing, and making decisions. In this research, a health monitoring system based on AI and IoT is designed to deal with the data of heart patients. The system monitors the heart patient’s activities, which helps to inform patients about their health status. Moreover, the system can perform disease classification using machine learning models. Experimental results reveal that the proposed system can perform real-time monitoring of patients and classify diseases with higher accuracy. |
format | Online Article Text |
id | pubmed-10221603 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-102216032023-05-28 Monitoring Acute Heart Failure Patients Using Internet-of-Things-Based Smart Monitoring System Almujally, Nouf Abdullah Aljrees, Turki Saidani, Oumaima Umer, Muhammad Faheem, Zaid Bin Abuzinadah, Nihal Alnowaiser, Khaled Ashraf, Imran Sensors (Basel) Article With technological advancements, smart health monitoring systems are gaining growing importance and popularity. Today, business trends are changing from physical infrastructure to online services. With the restrictions imposed during COVID-19, medical services have been changed. The concepts of smart homes, smart appliances, and smart medical systems have gained popularity. The Internet of Things (IoT) has revolutionized communication and data collection by incorporating smart sensors for data collection from diverse sources. In addition, it utilizes artificial intelligence (AI) approaches to control a large volume of data for better use, storing, managing, and making decisions. In this research, a health monitoring system based on AI and IoT is designed to deal with the data of heart patients. The system monitors the heart patient’s activities, which helps to inform patients about their health status. Moreover, the system can perform disease classification using machine learning models. Experimental results reveal that the proposed system can perform real-time monitoring of patients and classify diseases with higher accuracy. MDPI 2023-05-09 /pmc/articles/PMC10221603/ /pubmed/37430494 http://dx.doi.org/10.3390/s23104580 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Almujally, Nouf Abdullah Aljrees, Turki Saidani, Oumaima Umer, Muhammad Faheem, Zaid Bin Abuzinadah, Nihal Alnowaiser, Khaled Ashraf, Imran Monitoring Acute Heart Failure Patients Using Internet-of-Things-Based Smart Monitoring System |
title | Monitoring Acute Heart Failure Patients Using Internet-of-Things-Based Smart Monitoring System |
title_full | Monitoring Acute Heart Failure Patients Using Internet-of-Things-Based Smart Monitoring System |
title_fullStr | Monitoring Acute Heart Failure Patients Using Internet-of-Things-Based Smart Monitoring System |
title_full_unstemmed | Monitoring Acute Heart Failure Patients Using Internet-of-Things-Based Smart Monitoring System |
title_short | Monitoring Acute Heart Failure Patients Using Internet-of-Things-Based Smart Monitoring System |
title_sort | monitoring acute heart failure patients using internet-of-things-based smart monitoring system |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10221603/ https://www.ncbi.nlm.nih.gov/pubmed/37430494 http://dx.doi.org/10.3390/s23104580 |
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