Performance evaluation of data intensive mobile healthcare test-bed in a 4G environment

Acharya, Debopam; Kumar, Vijay; Han, Hoo-Joo

doi:10.1145/2248341.2248353

Cited by 6 publications

(2 citation statements)

References 8 publications

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“…Table 4: Difference between 4G and 5G telemedicine (Vij and Jain, 2016;Acharya et al, 2012;Adebusola et al, 2020) Scenarios 4G telemedicine 5G telemedicine…”

Section: Ai and Machine Learning (Ml)mentioning

confidence: 99%

Impact of telecommunication network on future of telemedicine in healthcare: A systematic literature review

al.¹

2022

Int. j. adv. appl. sci.

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Telemedicine is a combination of networking technologies and clinical data. The implementation of telemedicine has enhanced the regional distribution of resources, decreased the workforce of personnel, and shortened the space between healthcare staff and patients. Typically, the specialist doctors are settled and offer their services only in large urban areas. It is pertinent to reduce the imbalance of medical resources between urban and rural areas. The advent of telemedicine has the potential to address this issue. However, current telemedicine has its limitations in terms of data transfer and thus struggles to offer low latency in real-time applications. The recent developments in communication systems offer 5G and above connectivity. This study aims to analyze and synthesize the role of telecommunication networks for potential developments in the field of telemedicine. To this end, a systematic literature review has been conducted to address well-defined research questions. These questions aim to understand the working, flow, scope, and framework of the research area. This review provides an overview of telemedicine, the 5G-based telemedicine framework, and its comparison with the current system. It also discusses how the fast communication network (i.e., 5G and beyond 5G) with devices operating at low latency can revolutionize the healthcare system. Furthermore, a framework for future telemedicine has been provided along with potential application domains. Lastly, challenges and future directions beyond 5G have also been presented.

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“…Table 4: Difference between 4G and 5G telemedicine (Vij and Jain, 2016;Acharya et al, 2012;Adebusola et al, 2020) Scenarios 4G telemedicine 5G telemedicine…”

Section: Ai and Machine Learning (Ml)mentioning

confidence: 99%

Impact of telecommunication network on future of telemedicine in healthcare: A systematic literature review

al.¹

2022

Int. j. adv. appl. sci.

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“…Computing power has increased simultaneously, following the famous Moore's Law up until very recently [1]. At the same time, available communication bandwidth has increased substantially with the advent of new communication channels, such as 3G and 4G, offering new opportunities for assistive and/or healthcare applications [2,3]. Historically, new technologies follow a typical path of development.…”

Section: Introductionmentioning

confidence: 99%

Robotic Assistants for Universal Access

Keates

Kyberd

2017

Universal Access in Human–Computer Interaction. Human and Technological Environments

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Abstract. Much research is now focusing on how technology is moving away from the traditional computer to a range of smart devices in smart environments, the so-called Internet of Things. With this increase in computing power and decrease in form factor, we are approaching the possibility of a new generation of robotic assistants able to perform a range of tasks and activities to support all kinds of users. However, history shows that unless care is taken early in the design process, the users who may stand to benefit the most from such assistance may inadvertently be excluded from it. This paper examines some of those historical missteps and examines possible ways forward to ensure that the next generation robots support the principles of universal access.

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