A Vision on Intelligent Medical Service for Emergency on 5G and 6G Communication Era

Nayak, Sabuzima; Patgiri, Ripon

doi:10.4108/eai.17-8-2020.166293

Cited by 18 publications

(10 citation statements)

References 26 publications

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“…At present, the blood sugar control of diabetic patients is basically achieved by drugs and diet, which bring great inconvenience to elderly patients. In addition, due to the increase in age and the decline in selfcontrol and memory, the elderly have increased the difficulty of treatment, so in their daily life, which aspects should be improved to improve the treatment effect of diabetes is particularly important [6,7].…”

Section: Research On the Prevention Of Senilementioning

confidence: 99%

The Prevention of Senile Diabetes by Smart Wearable Health Monitoring Products

Wei¹,

Li²

2022

Journal of Healthcare Engineering

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As a chronic disease, diabetes in the elderly patients is incurable and has a long treatment time, most of the symptoms are atypical, and onset is difficult to detect. This is among the challenging issues in front of doctors and paramedical stall and needed to be addressed on a priority basis as it poses a great threat to the health and life of the elderly. At present, the corresponding home medical products and emergency medical equipment cannot provide comprehensive and real-time services for monitoring physical conditions. At present, smart wearable health monitoring products are still in an emerging field. Relying on the advantages of internet technology, actively monitoring the physical condition of elderly diabetic patients is conducive to health protection. This article uses questionnaire surveys and experimental research methods to analyze the information source channels of the elderly diabetic patients interviewed for diabetes and their concerns about using smart wearable health monitoring products and compare their satisfaction with traditional blood glucose monitoring products and smart wearable health monitoring products. According to the investigation results of 50 elderly diabetes patients in P City,, they use TV, newspapers, and magazines to learn more about relevant information. They are mainly worried that they are unfamiliar with the product and will not use the process. Compared with traditional blood glucose monitoring products, smart wearable health monitoring products are satisfied, and degree is higher. Therefore, in order to better let elderly diabetic patients understand their physical condition, they can also effectively avoid the risk factors that may be suffered in life so that the disease can be effectively controlled. Various claims of the proposed scheme are verified through a rigorous evaluation process which is carried out in the form of numerous experiments. These results show that the proposed scheme is an effective way to resolve the aforementioned issue in the hospitals.

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Section: Research On the Prevention Of Senilementioning

confidence: 99%

The Prevention of Senile Diabetes by Smart Wearable Health Monitoring Products

Wei¹,

Li²

2022

Journal of Healthcare Engineering

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“…With the continuous development of social informatization, medical services must seize the opportunity of 5G network technology to meet growing demands in modern medical service (7)(8)(9)(10). The application of 5G network technology in the medical network will improve medical service quality and medical efficiency and enhance the patient experience, thus improving the service level of the entire medical industry (Figure 3) (10)(11)(12)(13)(14)(15).…”

Section: Applications Of G Network Technology In the Field Of Medical...mentioning

confidence: 99%

Application of 5G network combined with AI robots in personalized nursing in China: A literature review

Guo

Hong

2022

Front. Public Health

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The medical and healthcare industry is currently developing into digitization. Attributed to the rapid development of advanced technologies such as the 5G network, cloud computing, artificial intelligence (AI), and big data, and their wide applications in the medical industry, the medical model is shifting into an intelligent one. By combining the 5G network with cloud healthcare platforms and AI, nursing robots can effectively improve the overall medical efficacy. Meanwhile, patients can enjoy personalized medical services, the supply and the sharing of medical and healthcare services are promoted, and the digital transformation of the healthcare industry is accelerated. In this paper, the application and practice of 5G network technology in the medical industry are introduced, including telecare, 5G first-aid remote medical service, and remote robot applications. Also, by combining application characteristics of AI and development requirements of smart healthcare, the overall planning, intelligence, and personalization of the 5G network in the medical industry, as well as opportunities and challenges of its application in the field of nursing are discussed. This paper provides references to the development and application of 5G network technology in the field of medical service.

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“…A promising communication paradigm is represented by 6G that will have the ability to give a boost to the ongoing process of telecommunications evolution and to rule the entire health field from 2030 onward [13]. We are witnessing an increasing effect in both number of connected devices and demand for high-data rate services.…”

Section: Beyond 5g Network Towards 6g Revolutionmentioning

confidence: 99%

“…While the 5G systems will offer significant improvements, they will not be able to fulfill the demands of future emerging intelligent systems; 5G networks will not have the capacity to deliver a completely automated and intelligent network that provides everything as a service and a completely immersive experience [8]. For this reason, there is a growing interest in studying a new paradigm of wireless communication as the sixth-generation (6G) system, with the full support of artificial intelligence, expected to be implemented between 2027 and 2030 [8], as supported in a huge number of papers [8][9][10][11][12][13] where authors agree that the 6G networks will introduce a key enabler of intelligence, new technologies and network features. For further up-to-date details on very recent 6G studies, see Table 2.…”

Section: Introduction 1telecommunication Evolution and Status Of 5g Deploymentmentioning

confidence: 99%

CoKnowEMe: An Edge Evaluation Scheme for QoS of IoMT Microservices in 6G Scenario

et al. 2021

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The forthcoming 6G will attempt to rewrite the communication networks’ perspective focusing on a shift in paradigm in the way technologies and services are conceived, integrated and used. In this viewpoint, the Internet of Medical Things (IoMT) represents a merger of medical devices and health applications that are connected through networks, introducing an important change in managing the disease, treatments and diagnosis, reducing costs and faults. In 6G, the edge intelligence moves the innovative abilities from the central cloud to the edge and jointly with the complex systems approach will enable the development of a new category of lightweight applications as microservices. It requires edge intelligence also for the service evaluation in order to introduce the same degree of adaptability. We propose a new evaluation model, called CoKnowEMe (context knowledge evaluation model), by introducing an architectural and analytical scheme, modeled following a complex and dynamical approach, consisting of three inter-operable level and different networked attributes, to quantify the quality of IoMT microservices depending on a changeable context of use. We conduct simulations to display and quantify the structural complex properties and performance statistical estimators. We select and classify suitable attributes through a further detailed procedure in a supplementary information document.

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A Vision on Intelligent Medical Service for Emergency on 5G and 6G Communication Era

Cited by 18 publications

References 26 publications

The Prevention of Senile Diabetes by Smart Wearable Health Monitoring Products

The Prevention of Senile Diabetes by Smart Wearable Health Monitoring Products

Application of 5G network combined with AI robots in personalized nursing in China: A literature review

CoKnowEMe: An Edge Evaluation Scheme for QoS of IoMT Microservices in 6G Scenario

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