Monitoring Acute Heart Failure Patients Using Internet-of-Things-Based Smart Monitoring System

  • Nouf Abdullah Almujally
  • , Turki Aljrees
  • , Oumaima Saidani
  • , Muhammad Umer
  • , Zaid Bin Faheem
  • , Nihal Abuzinadah
  • , Khaled Alnowaiser
  • , Imran Ashraf

Research output: Contribution to journalArticlepeer-review

31 Scopus citations

Abstract

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.

Original languageEnglish
Article number4580
JournalSensors
Volume23
Issue number10
DOIs
StatePublished - May 2023

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • IoT
  • deep learning
  • heart disease
  • patient mortality prediction
  • smart healthcare

Fingerprint

Dive into the research topics of 'Monitoring Acute Heart Failure Patients Using Internet-of-Things-Based Smart Monitoring System'. Together they form a unique fingerprint.

Cite this