The Use of Drones to Improve the Efficiency of Using Telemedicine Systems in Emergencies

Kolisnyk, Kostyantyn; Kartashov, Volodymyr; Tomashevskyi, Roman; Kolisnyk, Viktoriia; Koval, S.M.; Zamiatin, Petro

doi:10.1109/khpiweek57572.2022.9916362

Cited by 5 publications

(2 citation statements)

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“…By offering a dependable and secure way to transfer medical data and supplies to remote or disaster-affected locations, Unmanned Aerial Vehicles (UAVs) [34,35] and Software-defined Networks (SDNs) [36][37] can enhance telemedicine in a significant way. UAVs can be used to deliver medical supplies and equipment to far-flung locations that are challenging to access by conventional transportation.…”

Section: Uav and Software-defined Network As Support To Telemedicinementioning

confidence: 99%

Maximizing Network Capacity, Control and Management in Designing a Telemedicine Network: A Review and Recent Challenges

Sadiq,

Zakariyya,

Buhari

et al. 2024

AfricArXiv

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Telemedicine networks have seen significant changes in their capacity, monitoring, management, and control framework during the previous decades. The evolution of network capacity, control, and management for Unmanned Aerial Vehicle (UAV) & Software-Defined Networks (SDN) as support to telemedicine, artificial intelligence in telemedicine networks, and capabilities in designing a telemedicine network with respect to its performance and customization is presented in this study, with a historical history and a future view. The first section of the article goes over the history of traffic and capacity expansion, as well as future projections. By introducing a medical and image data communication protocol for telemedicine, the second section examines the technological constraints of expanding capacity in the era of UAV & software defined networking. The third section discusses ways to maximize network capacity by considering quality of service (QoS) capacity issues. Finally, the article explores how to construct a telemedicine network that can provide performance, customization, and capabilities to keep up with increased traffic in the coming decades. Research gaps and future directions were presented in the last section.

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Section: Uav and Software-defined Network As Support To Telemedicinementioning

confidence: 99%

Maximizing Network Capacity, Control and Management in Designing a Telemedicine Network: A Review and Recent Challenges

Sadiq,

Zakariyya,

Buhari

et al. 2024

AfricArXiv

View full text Add to dashboard Cite

show abstract

“…By offering a dependable and secure way to transfer medical data and supplies to remote or disasteraffected locations, Unmanned Aerial Vehicles (UAVs) [34,35] and Software-defined Networks (SDNs) [36][37] can enhance telemedicine in a significant way. UAVs can be used to deliver medical supplies and equipment to far-flung locations that are challenging to access by conventional transportation.…”

Section: Uav and Software-defined Net-work As Support To Telemedicinementioning

confidence: 99%

Maximizing network capacity, control and management in designing a telemedicine network: A review and recent challenges

Sadiq,

Zakariyya,

Buhari

et al. 2024

Nig. J. Tech.

View full text Add to dashboard Cite

Telemedicine networks have seen significant changes in their capacity, monitoring, management, and control framework during the previous decades. The evolution of network capacity, control, and management for Unmanned Aerial Vehicle (UAV) & Software-Defined Networks (SDN) as support to telemedicine, artificial intelligence in telemedicine networks, and capabilities in designing a telemedicine network with respect to its performance and customization is presented in this study, with a historical history and a future view. The first section of the article goes over the history of traffic and capacity expansion, as well as future projections. By introducing a medical and image data communication protocol for telemedicine, the second section examines the technological constraints of expanding capacity in the era of UAV & softwaredefined networking. The third section discusses ways to maximize network capacity by considering quality of service (QoS) capacity issues. Finally, the article explores how to construct a telemedicine network that can provide performance, customization, and capabilities to keep up with increased traffic in the coming decades. Research gaps and future directions were presented in the last section.

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Mathematical Modelling of the Multifactorial Influence of Striking Fragments on the Dynamics of the Rehabilitation Processes of the Wounded

Kolisnyk,

Sokol,

Shchapov

et al. 2023

IFMBE Proceedings

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The Use of Drones to Improve the Efficiency of Using Telemedicine Systems in Emergencies

Cited by 5 publications

References 0 publications

Maximizing Network Capacity, Control and Management in Designing a Telemedicine Network: A Review and Recent Challenges

Maximizing Network Capacity, Control and Management in Designing a Telemedicine Network: A Review and Recent Challenges

Maximizing network capacity, control and management in designing a telemedicine network: A review and recent challenges

Mathematical Modelling of the Multifactorial Influence of Striking Fragments on the Dynamics of the Rehabilitation Processes of the Wounded

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