Sensors · 2023 · 32 citations · 55 references
ComputingCardiologyHealth InformaticsHealthcare Information SystemsInternet Of ThingsMachine LearningDigital Health SystemsHealth Monitoring SystemsHeart FailureSmart SensorsDisease Classification SystemsHealth MonitoringHealthcare Internet Of ThingsHome Monitoring SystemsMachine Learning For Health MonitoringMachine Learning For HealthcareMachine Learning For IotReal-time Monitoring
Smart health monitoring systems, driven by IoT and AI, have become increasingly important, especially during COVID‑19, as they enable remote data collection and decision support for patients. This study aims to design an AI‑powered IoT health monitoring system for heart patients. The system tracks patients’ activities, provides health status feedback, and uses machine‑learning models to classify cardiac diseases. Experimental results show that the system achieves real‑time monitoring and higher disease‑classification accuracy.
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.
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Digital technology and COVID-19
Daniel Shu Wei Ting, Lawrence Carin, Victor J. Dzau et al. · Nature Medicine · 2020 · 1.5K citations · Full text
Public Health, Health Informatics, Information Technology +12
Internet of Things (IoT) and the Energy Sector
Naser Hossein Motlagh, Mahsa Mohammadrezaei, Julian David Hunt et al. · Energies · 2020 · 757 citations · Full text