ArticleIEEE access : practical innovations, open solutions2021
An IoT-Based Healthcare Platform for Patients in ICU Beds During the COVID-19 Outbreak.
Article in IEEE access : practical innovations, open solutions, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
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Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A systematic review and knowledge mapping on ICT-based remote and automatic COVID-19 patient monitoring and care.BMC health services research · 2023Pooled it
- Healthcare 5.0-Driven Clinical Intelligence: The Learn-Predict-Monitor-Detect-Correct Framework for Systematic Artificial Intelligence Integration in Critical Care.Healthcare (Basel, Switzerland) · 2025Review
- [Research and application implementation of the Internet of Things scheme for intensive care unit medical equipment].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2025Article
- Advanced Mobile Communication Techniques in the Fight against the COVID-19 Pandemic Era and Beyond: An Overview of 5G/B5G/6G.Sensors (Basel, Switzerland) · 2023Review
- A Comprehensive Survey on Pandemic Patient Monitoring System: Enabling Technologies, Opportunities, and Research Challenges.Wireless personal communications · 2023Review
- ROMI: A Real-Time Optical Digit Recognition Embedded System for Monitoring Patients in Intensive Care Units.Sensors (Basel, Switzerland) · 2023Article
- i-Sheet: A Low-Cost Bedsheet Sensor for Remote Diagnosis of Isolated Individuals.IEEE sensors journal · 2023Article
- Edge computing based secure health monitoring framework for electronic healthcare system.Cluster computing · 2023Article
- Internet of things-based health monitoring system for early detection of cardiovascular events during COVID-19 pandemic.World journal of clinical cases · 2022Review
- The role of contemporary digital tools and technologies in COVID-19 crisis: An exploratory analysis.Expert systems · 2022Article
- Artificial intelligence-inspired comprehensive framework for Covid-19 outbreak control.Artificial intelligence in medicine · 2022Article
- A conceptual IoT-based early-warning architecture for remote monitoring of COVID-19 patients in wards and at home.Internet of things (Amsterdam, Netherlands) · 2022Article
- LoRaChainCare: An IoT Architecture Integrating Blockchain and LoRa Network for Personal Health Care Data Monitoring.Sensors (Basel, Switzerland) · 2022Article
- Remotely Monitoring COVID-19 Patient Health Condition Using Metaheuristics Convolute Networks from IoT-Based Wearable Device Health Data.Sensors (Basel, Switzerland) · 2022Article
- An Effective Data Science Technique for IoT-Assisted Healthcare Monitoring System with a Rapid Adoption of Cloud Computing.Computational intelligence and neuroscience · 2022Article
- Artificial intelligence in surgery: the emergency surgeon's perspective (the ARIES project).Discover health systems · 2022Review
- AIoT Used for COVID-19 Pandemic Prevention and Control.Contrast media & molecular imaging · 2021Review
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
There is a global concern with the escalating number of patients at hospitals caused mainly by population aging, chronic diseases, and recently by the COVID-19 outbreak. To smooth this challenge, IoT emerges as an encouraging paradigm because it provides the scalability required for this purpose, supporting continuous and reliable health monitoring on a global scale. Based on this context, an IoT-based healthcare platform to provide remote monitoring for patients in a critical situation was proposed in the authors' previous works. Therefore, this paper aims to extend the platform by integrating wearable and unobtrusive sensors to monitor patients with coronavirus disease. Furthermore, we report a real deployment of our approach in an intensive care unit for COVID-19 patients in Brazil.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.