An IoT-Based Healthcare Platform for Patients in ICU Beds During the COVID-19 Outbreak

Filho, Itamir de Morais Barroca; Aquino, Gibeon Soares de; Malaquias, Ramon Santos; Girão, Gustavo; Melo, Sávio Rennan Menêzes

doi:10.1109/access.2021.3058448

Cited by 84 publications

(28 citation statements)

References 49 publications

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“…The authors of [ 12 ] proposed an IoT assisted healthcare platform for ICU patients during the outbreak of COVID-19. Here the healthcare monitoring is presented in critical situations.…”

Section: Literature Reviewmentioning

confidence: 99%

An Effective Data Science Technique for IoT-Assisted Healthcare Monitoring System with a Rapid Adoption of Cloud Computing

El-Aziz

Rayan

Shahin

et al. 2022

Computational Intelligence and Neuroscience

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Patients are required to be observed and treated continually in some emergency situations. However, due to time constraints, visiting the hospital to execute such tasks is challenging. This can be achieved using a remote healthcare monitoring system. The proposed system introduces an effective data science technique for IoT supported healthcare monitoring system with the rapid adoption of cloud computing that enhances the efficiency of data processing and the accessibility of data in the cloud. Many IoT sensors are employed, which collect real healthcare data. These data are retained in the cloud for the processing of data science. In the Healthcare Monitoring-Data Science Technique (HM-DST), initially, an altered data science technique is introduced. This algorithm is known as the Improved Pigeon Optimization (IPO) algorithm, which is employed for grouping the stored data in the cloud, which helps in improving the prediction rate. Next, the optimum feature selection technique for extraction and selection of features is illustrated. A Backtracking Search-Based Deep Neural Network (BS-DNN) is utilized for classifying human healthcare. The proposed system’s performance is finally examined with various healthcare datasets of real time and the variations are observed with the available smart healthcare systems for monitoring.

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“…The authors of [ 12 ] proposed an IoT assisted healthcare platform for ICU patients during the outbreak of COVID-19. Here the healthcare monitoring is presented in critical situations.…”

Section: Literature Reviewmentioning

confidence: 99%

An Effective Data Science Technique for IoT-Assisted Healthcare Monitoring System with a Rapid Adoption of Cloud Computing

El-Aziz

Rayan

Shahin

et al. 2022

Computational Intelligence and Neuroscience

View full text Add to dashboard Cite

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“…As to whether the face monitoring system can cover all the activity areas of patients, there are still some obstacles for developing countries or backward regions. By integrating wearable and unobtrusive sensors, the study in [ 40 ] extends the AIoT-based healthcare platform for remote intensive care of patients. The main work of the platform is to collect and process patient data to facilitate rapid clinical intervention.…”

Section: Remote Intensive Care For Patients With Covid-19mentioning

confidence: 99%

AIoT Used for COVID-19 Pandemic Prevention and Control

Chen

Wang

et al. 2021

Contrast Media & Molecular Imaging

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The pandemic of COVID-19 is continuing to wreak havoc in 2021, with at least 170 million victims around the world. Healthcare systems are overwhelmed by the large-scale virus infection. Luckily, Internet of Things (IoT) is one of the most effective paradigms in the intelligent world, in which the technology of artificial intelligence (AI), like cloud computing and big data analysis, is playing a vital role in preventing the spread of the pandemic of COVID-19. AI and 5G technologies are advancing by leaps and bounds, further strengthening the intelligence and connectivity of IoT applications, and conventional IoT has been gradually upgraded to be more powerful AI + IoT (AIoT). For example, in terms of remote screening and diagnosis of COVID-19 patients, AI technology based on machine learning and deep learning has recently upgraded medical equipment significantly and has reshaped the workflow with minimal contact with patients, so medical specialists can make clinical decisions more efficiently, providing the best protection not only to patients but also to specialists themselves. This paper reviews the latest progress made in combating COVID-19 with both IoT and AI and also provides comprehensive details on how to combat the pandemic of COVID-19 as well as the technologies that may be applied in the future.

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“…This is a fundamentssal approach toward patient monitoring using Sensors and IoT devices. In this paper, a home hospitalization system is discussed broadly Future work-Machine learning algorithms can be integrated [3]. In this paper [4] the authors have surveyed blockchain technology.…”

Section: Literature Reviewmentioning

confidence: 99%

“…A three-level architecture using deep machine learning and speech processing has been proposed by a researcher which can detect the presence of coronavirus in the human body by his voice [2]. A healthcare monitoring system is designed which will monitor patients' health remotely using sensors and many more IoT devices for the patients who are in ICU [3]. For vaccination support and contact tracing system is proposed, a system is proposed for the collaboration of multiple robots which will be very helpful in the fight against COVID-19 and a solution is also provided for contact tracing using blockchain technology [4][5][6].…”

Section: Introductionmentioning

confidence: 99%

A Complete Telemetry Solution for COVID-19 Infected Person by Using IoT

Abhishek

Suman²,

Priya³

et al. 2021

2021 International Conference on Recent Trends on Electronics, Information, Communication &Amp; Technology (RTEICT)

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In this paper we are defining a complete solution for Covid-19 infected persons using telemedicine and IoT. In this proposed work we mainly focused of proper care and monitoring of the infected patient from the beginning. We had also added a feature of online medical supports like availability of beds in particular hospitals, E medicine and other medical equipment buying facilities, online consultation to doctors, E medical support for emergency, online ambulance support, online request for pathology and radiology, complete monitoring of the patient from day one. The process will start from registration and then one can go for its further options. The proposal had also added a unique feature in the system that the treatment given to the infected person will also be shared to the family member of the patient through registered channel. The novelty of this system lies in providing the patients with an organized setup of smart healthcare which makes healthcare easy. We had discussed the working models for the different works associated with final our proposed system. This proposed system aims lesser human intervention with better medical facilities to covid-19 patients.

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An IoT-Based Healthcare Platform for Patients in ICU Beds During the COVID-19 Outbreak

Cited by 84 publications

References 49 publications

An Effective Data Science Technique for IoT-Assisted Healthcare Monitoring System with a Rapid Adoption of Cloud Computing

An Effective Data Science Technique for IoT-Assisted Healthcare Monitoring System with a Rapid Adoption of Cloud Computing

AIoT Used for COVID-19 Pandemic Prevention and Control

A Complete Telemetry Solution for COVID-19 Infected Person by Using IoT

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