IoT-based bed and ventilator management system during the COVID-19 pandemic
Abstract The COVID-19 outbreak put a significant pressure on limited healthcare resources. The specific number of people that may be affected in the near future is difficult to determine. We can therefore deduce that the corona virus pandemic’s healthcare requirements surpassed available capacity. T...
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Nature Portfolio
2025-05-01
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| Series: | Scientific Reports |
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| Online Access: | https://doi.org/10.1038/s41598-025-03144-y |
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| author | Vivek Kumar Prasad Debabrata Dansana S. Gopal Krishna Patro Ayodeji Olalekan Salau Divyang Yadav Brojo Kishore Mishra |
| author_facet | Vivek Kumar Prasad Debabrata Dansana S. Gopal Krishna Patro Ayodeji Olalekan Salau Divyang Yadav Brojo Kishore Mishra |
| author_sort | Vivek Kumar Prasad |
| collection | DOAJ |
| description | Abstract The COVID-19 outbreak put a significant pressure on limited healthcare resources. The specific number of people that may be affected in the near future is difficult to determine. We can therefore deduce that the corona virus pandemic’s healthcare requirements surpassed available capacity. The Internet of Things (IoT) has emerged an crucial concept for the advancement of information and communication technology. Since IoT devices are used in various medical fields like real-time tracking, patient data management, and healthcare management. Patients can be tracked using a variety of tiny-powered and lightweight wireless sensor nodes which use the body sensor network (BSN) technology, one of the key technologies of IoT advances in healthcare. This gives clinicians and patients more options in contemporary healthcare management. This study report focuses on the conditions for vacating beds available for COVID-19 patients. The patient’s health condition is recognized and categorised as positive or negative in terms of the Coronavirus disease (COVID-19) using IoT sensors. The proposed model presented in this paper uses the ARIMA model and Transformer model to train a dataset with the aim of providing enhanced prediction. The physical implementation of these models is expected to accelerate the process of patient admission and the provision of emergency services, as the predicted patient influx data will be made available to the healthcare system in advance. This predictive capability of the proposed model contributes to the efficient management of healthcare resources. The research findings indicate that the proposed models demonstrate high accuracy, as evident by its low mean squared error (MSE), root mean squared error (RMSE), and mean absolute error (MAE). |
| format | Article |
| id | doaj-art-1fcca2b77ce84415b3e90bdee2d96331 |
| institution | DOAJ |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-1fcca2b77ce84415b3e90bdee2d963312025-08-20T03:22:02ZengNature PortfolioScientific Reports2045-23222025-05-0115112310.1038/s41598-025-03144-yIoT-based bed and ventilator management system during the COVID-19 pandemicVivek Kumar Prasad0Debabrata Dansana1S. Gopal Krishna Patro2Ayodeji Olalekan Salau3Divyang Yadav4Brojo Kishore Mishra5Computer Science Department, Institute of Technology, Nirma UniversityDepartment of Computer Science, Rajendra UniversitySchool of Engineering, Sreenidhi UniversityDepartment of Electrical/Electronics and Computer Engineering, Afe Babalola UniversityComputer Science Department, Institute of Technology, Nirma UniversityNIST Institute of Science and Technology (Autonomous)Abstract The COVID-19 outbreak put a significant pressure on limited healthcare resources. The specific number of people that may be affected in the near future is difficult to determine. We can therefore deduce that the corona virus pandemic’s healthcare requirements surpassed available capacity. The Internet of Things (IoT) has emerged an crucial concept for the advancement of information and communication technology. Since IoT devices are used in various medical fields like real-time tracking, patient data management, and healthcare management. Patients can be tracked using a variety of tiny-powered and lightweight wireless sensor nodes which use the body sensor network (BSN) technology, one of the key technologies of IoT advances in healthcare. This gives clinicians and patients more options in contemporary healthcare management. This study report focuses on the conditions for vacating beds available for COVID-19 patients. The patient’s health condition is recognized and categorised as positive or negative in terms of the Coronavirus disease (COVID-19) using IoT sensors. The proposed model presented in this paper uses the ARIMA model and Transformer model to train a dataset with the aim of providing enhanced prediction. The physical implementation of these models is expected to accelerate the process of patient admission and the provision of emergency services, as the predicted patient influx data will be made available to the healthcare system in advance. This predictive capability of the proposed model contributes to the efficient management of healthcare resources. The research findings indicate that the proposed models demonstrate high accuracy, as evident by its low mean squared error (MSE), root mean squared error (RMSE), and mean absolute error (MAE).https://doi.org/10.1038/s41598-025-03144-yCOVID-19Health careIoTBody sensor networkCloud computingPrediction |
| spellingShingle | Vivek Kumar Prasad Debabrata Dansana S. Gopal Krishna Patro Ayodeji Olalekan Salau Divyang Yadav Brojo Kishore Mishra IoT-based bed and ventilator management system during the COVID-19 pandemic Scientific Reports COVID-19 Health care IoT Body sensor network Cloud computing Prediction |
| title | IoT-based bed and ventilator management system during the COVID-19 pandemic |
| title_full | IoT-based bed and ventilator management system during the COVID-19 pandemic |
| title_fullStr | IoT-based bed and ventilator management system during the COVID-19 pandemic |
| title_full_unstemmed | IoT-based bed and ventilator management system during the COVID-19 pandemic |
| title_short | IoT-based bed and ventilator management system during the COVID-19 pandemic |
| title_sort | iot based bed and ventilator management system during the covid 19 pandemic |
| topic | COVID-19 Health care IoT Body sensor network Cloud computing Prediction |
| url | https://doi.org/10.1038/s41598-025-03144-y |
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