A metaverse framework for IoT-based remote patient monitoring and virtual consultations using AES-256 encryption
| dc.contributor.author | Mohammed, Zainab Khalid | |
| dc.contributor.author | Mohammed, Mazin Abed | |
| dc.contributor.author | Abdulkareem, Karrar Hameed | |
| dc.contributor.author | Zebari, Dilovan Asaad | |
| dc.contributor.author | Lakhan, Abdullah | |
| dc.contributor.author | Marhoon, Haydar Abdulameer | |
| dc.contributor.author | Nedoma, Jan | |
| dc.contributor.author | Martinek, Radek | |
| dc.date.accessioned | 2024-12-13T12:50:53Z | |
| dc.date.available | 2024-12-13T12:50:53Z | |
| dc.date.issued | 2024 | |
| dc.description.abstract | The convergence of Internet of Things (IoT) and metaverse technologies is revolutionizing healthcare. This study introduces a pioneering framework tailored for health monitoring within the metaverse. By reshaping remote patient monitoring and virtual consultations, the framework utilizes vital parameters like heart rate, blood pressure, and body temperature. It integrates IoT sensors, augmented reality (AR), and virtual reality (VR), establishing a cohesive metaverse environment for healthcare interactions. Notably, robust 256-bit AES encryption ensures data privacy and security. Our analysis highlights the pivotal role of metaverse architecture in healthcare, emphasizing the efficacy of AES-256 encryption in preserving patient confidentiality. Findings underscore the framework's potential to enhance remote patient care while upholding stringent data privacy standards. Moreover, it fosters trust among patients, healthcare providers, and regulatory bodies. In summary, this comprehensive framework marks a significant advancement in remote patient care, promising improved health outcomes and a secure foundation for healthcare in the metaverse. | cs |
| dc.description.firstpage | art. no. 111588 | cs |
| dc.description.source | Web of Science | cs |
| dc.description.volume | 158 | cs |
| dc.identifier.citation | Applied Soft Computing. 2024, vol. 158, art. no. 111588. | cs |
| dc.identifier.doi | 10.1016/j.asoc.2024.111588 | |
| dc.identifier.issn | 1568-4946 | |
| dc.identifier.issn | 1872-9681 | |
| dc.identifier.uri | http://hdl.handle.net/10084/155413 | |
| dc.identifier.wos | 001229645800001 | |
| dc.language.iso | en | cs |
| dc.publisher | Elsevier | cs |
| dc.relation.ispartofseries | Applied Soft Computing | cs |
| dc.relation.uri | https://doi.org/10.1016/j.asoc.2024.111588 | cs |
| dc.rights | © 2024 Elsevier B.V. All rights reserved. | cs |
| dc.subject | metaverse | cs |
| dc.subject | Internet of Things | cs |
| dc.subject | advanced encryption standard | cs |
| dc.subject | remote patient monitoring system | cs |
| dc.subject | virtual consultations | cs |
| dc.title | A metaverse framework for IoT-based remote patient monitoring and virtual consultations using AES-256 encryption | cs |
| dc.type | article | cs |
| dc.type.status | Peer-reviewed | cs |
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