ReviewSN computer science2020
Breathing Aid Devices to Support Novel Coronavirus (COVID-19)Infected Patients.
Review in SN computer science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
22 citing papers in PubMed.
- Evaluation and Performance of a Positive Airway Pressure Device (CPAP-AirFlife™): A Randomized Crossover Non-Inferiority Clinical Study in Normal Subjects.Medicina (Kaunas, Lithuania) · 2023Trial
- Fire safety status and evacuation of medical facility considering elevated oxygen concentrations.Heliyon · 2024Article
- Predictive algorithm for the regional spread of coronavirus infection across the Russian Federation.BMC medical informatics and decision making · 2023Article
- Conv-CapsNet: capsule based network for COVID-19 detection through X-Ray scans.Multimedia tools and applications · 2023Article
- Survival study on deep learning techniques for IoT enabled smart healthcare system.Health and technology · 2023Article
- Wearable technology for early detection of COVID-19: A systematic scoping review.Preventive medicine · 2022Article
- Detecting COVID-19 patients via MLES-Net deep learning models from X-Ray images.BMC medical imaging · 2022Article
- Predictive modeling for COVID-19 readmission risk using machine learning algorithms.BMC medical informatics and decision making · 2022Article
- Prognosis patients with COVID-19 using deep learning.BMC medical informatics and decision making · 2022Article
- A deep learning-driven low-power, accurate, and portable platform for rapid detection of COVID-19 using reverse-transcription loop-mediated isothermal amplification.Scientific reports · 2022Article
- Detection of COVID-19 Using Deep Learning Techniques and Cost Effectiveness Evaluation: A Survey.Frontiers in artificial intelligence · 2022Review
- UMLF-COVID: an unsupervised meta-learning model specifically designed to identify X-ray images of COVID-19 patients.BMC medical imaging · 2021Article
- ANFIS-Net for automatic detection of COVID-19.Scientific reports · 2021Article
- iCOVID: interpretable deep learning framework for early recovery-time prediction of COVID-19 patients.NPJ digital medicine · 2021Article
- Explainable DCNN based chest X-ray image analysis and classification for COVID-19 pneumonia detection.Scientific reports · 2021Article
- Quantum algorithm for quicker clinical prognostic analysis: an application and experimental study using CT scan images of COVID-19 patients.BMC medical informatics and decision making · 2021Article
- Combining a convolutional neural network with autoencoders to predict the survival chance of COVID-19 patients.Scientific reports · 2021Article
- Deep learning for COVID-19 detection based on CT images.Scientific reports · 2021Article
- Masi: A mechanical ventilator based on a manual resuscitator with telemedicine capabilities for patients with ARDS during the COVID-19 crisis.HardwareX · 2021Article
- AIoT Used for COVID-19 Pandemic Prevention and Control.Contrast media & molecular imaging · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Novel coronavirus (COVID-19), an ongoing pandemic, is threatening the whole population all over the world including the nations having high or low resource health infrastructure. The number of infection as well as death cases are increasing day by day, and outperforming all the records of previously found infectious diseases. This pandemic is imposing specific pressures on the medical system almost the whole globe. The respiration problem is the main complication that a COVID-19 infected patient faced generally. It is a matter of hope that the recent deployment of small-scale technologies like 3D printer, microcontroller, ventilator, Continuous Positive Airway Pressure (CPAP) are mostly used to resolve the problem associated with medical equipment's for breathing. This paper aims to overview the existing technologies which are frequently used to support the infected patients for respiration. We described the most recent developed breathing aid devices such as oxygen therapy devices, ventilator, and CPAP throughout the review. A comparative analysis among the developed devices with necessary challenges and possible future directions are also outlined for the proper selection of affordable technologies. It is expected that this paper would be of great help to the experts who would like to contribute in this area.
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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.