Relevant bibliographies by topics / 5G Telemedicine Monitoring Platform

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic '5G Telemedicine Monitoring Platform'

Author: Grafiati
Published: 4 June 2025
Last updated: 23 June 2025

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Journal articles on the topic "5G Telemedicine Monitoring Platform"

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Li-Wei, Lin, Gan Su-Mei, and Xin Teng Yu. "SURVEY ON CONSUMER USER SATISFACTION THROUGH 5G NETWORK MEDICAL SYSTEM." International Journal of Research - Granthaalayah 8, no. 1 (2020): 26–31. https://doi.org/10.5281/zenodo.3630692.

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This study focuses on the design of the 5G telemedicine monitoring platform. We use a questionnaire survey to investigate the patient's perception of the system. We found and explored some of the patients in the rural areas, patients with mobility problems to the hospital, to solve their problems and convenience. The results show that the 5G telemedicine monitoring system is established to build the interaction and monitoring benefits for the hospital and patients, and further to achieve its monitoring goals and treatment.
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Lin, Li-Wei, Su-Mei Gan, and Yu Xin Teng. "SURVEY ON CONSUMER USER SATISFACTION THROUGH 5G NETWORK MEDICAL SYSTEM." International Journal of Research -GRANTHAALAYAH 8, no. 1 (2020): 26–31. http://dx.doi.org/10.29121/granthaalayah.v8.i1.2020.239.

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This study focuses on the design of the 5G telemedicine monitoring platform. We use a questionnaire survey to investigate the patient's perception of the system. We found and explored some of the patients in the rural areas, patients with mobility problems to the hospital, to solve their problems and convenience. The results show that the 5G telemedicine monitoring system is established to build the interaction and monitoring benefits for the hospital and patients, and further to achieve its monitoring goals and treatment.
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Khanjar Al-Behadili, Ahmed Hasan. "Public Health Innovations Through Network Systems and Internet Technologies: A Review." International Journal of Engineering Research and Advanced Technology 11, no. 01 (2025): 12–25. https://doi.org/10.31695/ijerat.2025.1.2.

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The Internet of Network Systems (IoNS) is a groundbreaking integration of networked devices, digital platforms, and powerful data analytics that is transforming the provision, monitoring and administration of health care. This research target is to assess IoNS effects on the health industry,focusing on its application in disease surveillance, telemedicine, remote patient monitoring, and data-driven decision-making. In the same context, we discuss the theoretical frameworks, methods, benefits of IoNS, and the problems and limitations concerning its adoption. Such problems and limitations involve data privacy, interoperability, and the digital divide. Last but not least, we highlight directions for further investigations and actions, especially regardingthe introduction of modern technologies such as 5G, blockchain, and artificial intelligence IoT devices that can improve IoNS capabilities in the health sector. The review aims to explain in detail how IoNS is transforming the health sector and for better patient outcomes by collating existing literature
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Mustapha, Ashiata Yetunde, Tolulope Olagoke Kolawole, Akachukwu Obianuju Mbata, Busayo Olamide Tomoh, Adelaide Yeboah Forkuo, and MariaTheresa Chinyeaka Kelvin-Agwu. "Leveraging Mobile Health (mHealth) Applications for Improving Maternal and Child Health Outcomes: A Cross-Regional Study." Journal of Frontiers in Multidisciplinary Research 5, no. 1 (2024): 70–86. https://doi.org/10.54660/.ijfmr.2024.5.1.70-86.

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Maternal and child health remains a critical global public health concern, with disparities in healthcare access contributing to high maternal and child mortality rates, particularly in low-resource settings. Mobile Health (mHealth) applications have emerged as transformative tools for delivering timely healthcare interventions, improving maternal care, and enhancing child health outcomes. This study examines the impact of mHealth applications across different regions, focusing on how mobile-based interventions reduce maternal mortality and improve child health indicators. By leveraging real-time health monitoring, telemedicine, and personalized maternal care, mHealth applications provide pregnant women and new mothers with vital health information, remote consultations, and early risk detection. These digital platforms integrate artificial intelligence (AI) and big data analytics to predict pregnancy complications, ensuring timely referrals and reducing delays in accessing emergency obstetric care. Additionally, mHealth solutions promote prenatal and postnatal care adherence, vaccination tracking, and nutrition monitoring for newborns, mitigating preventable infant mortality risks. The study utilizes a cross-regional analysis of mHealth programs implemented in North America, Sub-Saharan Africa, and South Asia to evaluate effectiveness, adoption challenges, and policy implications. Findings highlight that regions with higher smartphone penetration and digital literacy experience greater success in utilizing mHealth for maternal healthcare delivery. In contrast, areas with infrastructure limitations face barriers in implementation due to inadequate internet access and limited healthcare workforce engagement. Evidence suggests that SMS-based interventions, chatbot-driven maternal counseling, and wearable health tracking significantly improve early antenatal visit compliance and emergency response times. Governments and healthcare organizations are increasingly integrating mHealth solutions into national healthcare policies to address maternal health disparities. However, challenges such as data security, ethical concerns, and technology accessibility gaps must be addressed to maximize the impact of mHealth applications. This study underscores the necessity of public-private partnerships, AI-enhanced remote monitoring, and community-driven mobile health education to scale mHealth adoption and improve maternal and child health outcomes globally. Future research should explore the integration of 5G technology, blockchain for medical records, and predictive analytics to further optimize mobile health interventions for maternal and child healthcare.
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Zhang, Yangan, Guichen Chen, Hang Du, Xueguang Yuan, Michel Kadoch, and Mohamed Cheriet. "Real-Time Remote Health Monitoring System Driven by 5G MEC-IoT." Electronics 9, no. 11 (2020): 1753. http://dx.doi.org/10.3390/electronics9111753.

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Telemedicine over Internet of Things (IoT) generates an unprecedented amount of data, which further requires transmission, analysis, and storage. Deploying cloud computing to handle data of this magnitude will introduce unacceptable data analysis latency and high storage costs. Thus, mobile edge computing (MEC) deployed between the cloud and users, which is close to the nodes of data generation, can tackle these problems in 5G scenarios with the help of artificial intelligence. This paper proposes a telemedicine system based on MEC and artificial intelligence for remote health monitoring and automatic disease diagnosis. The integration of different technologies such as computers, medicine, and telecommunications will significantly improve the efficiency of patient treatment and reduce the cost of health care.
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Ma, Yiming. "Application of telemedicine in cardiovascular disease prevention and management." Theoretical and Natural Science 20, no. 1 (2023): 154–58. http://dx.doi.org/10.54254/2753-8818/20/20230748.

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With the rapid advances of technology and wireless program, the clinical application of telemedicine is received increasingly great attention for its convivence and real-time monitoring. The present study focuses on telemedicine, which is a new tool employed the newly technology like 5G and artificial intelligence to achieve contactless but real-time monitoring patients or subjects for disease management or prevention of future medical events. Telemedicine is useful for help people that in the remote area and do not have access to good medical treatment, more professional experts, better medical examination system or sound surveillance system. It can improve equality and compensate for regional differences. Herein, we summarized trials that have been done recently, and each was compared telemedicine to traditional approaches. Lastly, depending on these reviewed trials, the present study has summarized the advantages and the disadvantages of the telemedicine. We also reviewed the future direction of development of the telemedicine and the facing challenges of telemedicine.
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Ige, Adebimpe Bolatito, Peter Adeyemo Adepoju, Afees Olanrewaju Akinade, and Adeoye Idowu Afolabi. "Reviewing the Impact of 5G Technology on Healthcare in African Nations." International Journal of Research and Innovation in Social Science IX, no. I (2025): 1472–84. https://doi.org/10.47772/ijriss.2025.9010122.

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This review delves into the unprecedented impact of 5G technology on healthcare systems across African nations. The advent of 5G heralds a new era of connectivity, promising to revolutionize healthcare delivery, accessibility, and patient outcomes. Analyzing the intersection of cutting-edge telecommunications infrastructure and healthcare in the African context, this review highlights key findings that underscore the transformative potential of 5G. The review begins by providing an overview of the current state of healthcare in African nations, emphasizing the unique challenges faced by these regions. It then delves into the capabilities of 5G technology, including enhanced data transfer speeds, low latency, and robust network connectivity. Through a comprehensive analysis, the review explores the ways in which 5G facilitates advancements in telemedicine, remote patient monitoring, and the Internet of Medical Things (IoMT). Telemedicine emerges as a central theme, as 5G’s high-speed, low-latency capabilities break down geographical barriers, enabling real-time consultations, diagnostic imaging, and collaboration among healthcare professionals. The implementation of remote patient monitoring systems empowered by 5G enhances the delivery of healthcare services to underserved and remote areas, fostering preventive care and early intervention. The Internet of Medical Things (IoMT) takes center stage in this review, showcasing how 5G technology propels the integration of smart devices, wearables, and healthcare sensors. This interconnected ecosystem facilitates seamless data exchange, supporting healthcare providers in making informed decisions and improving patient outcomes. The review also sheds light on the potential challenges and considerations associated with the implementation of 5G in African healthcare, including infrastructure requirements, regulatory frameworks, and data privacy concerns. As African nations navigate the adoption of 5G, there is a call for collaborative efforts among governments, technology providers, and healthcare stakeholders to address these challenges and unlock the full potential of this transformative technology. In conclusion, this review underscores the paradigm shift brought about by 5G technology in African healthcare. The fusion of high-speed connectivity and healthcare services holds the promise of overcoming existing barriers, fostering a more inclusive, efficient, and technologically advanced healthcare landscape across the continent.
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Forcan, Miodrag, Mirjana Maksimović, Jovana Forcan, and Srđan Jokić. "Cloud-based system for real-time reading of Smart meters' data over 5G new radio." Telfor Journal 13, no. 2 (2021): 69–74. http://dx.doi.org/10.5937/telfor2102069f.

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The potential of the combined application of Cloud computing and the fifth generation of cellular network technology (5G) in Smart Grid (SG) could be revolutionary in terms of empowering the Advanced Metering Infrastructure (AMI). The model of a real-time 5G-based communication system for remote reading of Smart Meters' data is developed and presented in this paper. Online monitoring of power demand has been performed using the Cloud-based platform ThingSpeak. The proposed 5G communication model and online monitoring function have been tested and validated using a power demand variation scenario in a well-known IEEE 13 node network. The obtained results confirm the model accuracy and reveal the potential of AMI based on realtime data transmission between Smart meters (SM) and Cloud computing platform using a 5G communication network.
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Zhang, Jin Ling, Jun Wang, Xin Sheng Lv, and Yun Peng Han. "Design of Health Monitoring Platform Base on Medical Wisdom." Applied Mechanics and Materials 644-650 (September 2014): 1062–65. http://dx.doi.org/10.4028/www.scientific.net/amm.644-650.1062.

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This paper presents a system about health monitoring platform. The health monitoring platform design is based on the concept of medical wisdom, it achieves high degree of cooperation between patients and doctors by more intelligent, more comprehensive interconnection and more stable data transfer. There are two parts in the platform which are General Packet Radio Service (GPRS) network module and monitoring and management system based on web. The implementation of the platform provides a convenient solution to telemedicine.
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Cui, Delong, Hong Huang, Zhiping Peng, et al. "Next-generation 5G fusion-based intelligent health-monitoring platform for ethylene cracking furnace tube." Mathematical Biosciences and Engineering 19, no. 9 (2022): 9168–99. http://dx.doi.org/10.3934/mbe.2022426.

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<abstract> <p>This study aimed to develop a 5G + "mixed computing" + deep learning-based next-generation intelligent health-monitoring platform for an ethylene cracking furnace tube based on 5G communication technology, with the goal of improving the health management level of the key component of ethylene production, that is, the cracking furnace tube, and focusing on the key common technical difficulties of ethylene production of tube outer-surface temperature sensing and tube slagging diagnosis. It also integrated the edge-fog-cloud "mixed computing" technology and deep learning technology in artificial intelligence, which had a higher degree in the research and development of automation and intelligence, and was more versatile in an industrial environment. The platform included a 5G-based tube intelligent temperature-measuring device, a 5G-based intelligent peep door gearing, a 5G-based edge-fog-cloud collaboration mechanism, and a mixed deep learning-related application. The platform enhanced the automation and intelligence of the enterprise, which could not only promote the quality and efficiency of the enterprise but also protect the safe operation of the cracking furnace device and lead the technological progress and transformation and upgrading of the industry through the application.</p> </abstract>
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Dissertations / Theses on the topic "5G Telemedicine Monitoring Platform"

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Passarella, Alice. "Hardware Design and Firmware Architecture of a Multi-Sensor Platform for Monitoring of Workpieces and Machines." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021.

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This Thesis work focuses on the description of the curricular internship activity carried out in the R&D Division of Measuring Systems at MARPOSS S.p.A. company in Bentivoglio, BO, Italy. Part of this work has been performed in the context of the 5G-SMART European project, whose goal is to demonstrate, evaluate and validate the potential of the usage of 5G networks in real manufacturing environments. The Thesis provides a description of the project, focusing on the objectives, the organizational structure and work-packages, as well as future developments. An overview of the design steps for the realization of a Multi-Sensor Platform for Monitoring of Workpieces and Machines is given. The goal is to design a device equipped with different sensors, both internal and external, able to acquire multiple data from workpieces and machines of a shop floor. Sensors must be able to communicate wirelessly via the 5G network. The analysis of the architecture options proposed as a model for the device is then provided, with the description of the final modular layout. The design schematics are examined from a circuit viewpoint, focusing on the hardware design of the various electronic components, and on their interaction with the microprocessor. In order to verify the correct functioning of the board, a basic library of the individual peripherals is developed, which is going to be used as a basis for the final Firmware.
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Henriques, Nuno Miguel de Almeida Martins. "Automated configuration of a performance management platform in NFV and SDN environments." Master's thesis, Universidade de Aveiro, 2017. http://hdl.handle.net/10773/23553.

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Mestrado em Engenharia de Computadores e Telemática<br>With 5G set to arrive within the next three years, this next-generation of mobile networks will transform the mobile industry with a profound impact both on its customers as well as on the existing technologies and network architectures. Software-Defined Networking (SDN), together with Network Functions Virtualization (NFV), are going to play key roles for the operators as they prepare the migration from 4G to 5G allowing them to quickly scale their networks. This dissertation will present a research work done on this new paradigm of virtualized and programmable networks focusing on the performance management, supervision and monitoring domains, aiming to address Self-Organizing Networks (SON) scenarios in a NFV/SDN context, with one of the scenarios being the detection and prediction of potential network and service anomalies. The research work itself was done while participating in a R&D project designated SELFNET (A Framework for Self-Organized Network Management in Virtualized and Software Defined Networks) funded by the European Commission under the H2020 5G-PPP programme, with Altice Labs being one of the participating partners of this project. Performance management system advancements in a 5G scenario require aggregation, correlation and analysis of data gathered from these virtualized and programmable network elements. Both opensource monitoring tools and customized catalog-driven tools were either integrated on or developed with this purpose, and the results show that they were able to successfully address these requirements of the SELFNET project. Current performance management platforms of the network operators in production are designed for non virtualized (non- NFV) and non programmable (non-SDN) networks, and the knowledge gathered while doing this research work allowed Altice Labs to understand how its Altaia performance management platform must evolve in order to be prepared for the upcoming 5G next generation mobile networks.<br>Com o 5G prestes a chegar nos próximos três anos, esta próxima geração de redes móveis irá transformar a indústria de telecomunicações móveis com um impacto profundo nos seus clientes assim como nas tecnologias e arquiteturas de redes. As redes programáveis (SDN), em conjunto com a virtualização de funções de rede (NFV), irão desempenhar papéis vitais para as operadoras na sua migração do 4G para o 5G, permitindo-as escalar as suas redes rapidamente. Esta dissertação irá apresentar um trabalho de investigação realizado sobre este novo paradigma de virtualização e programação de redes, concentrando-se no domínio da gestão de desempenho, supervisionamento e monitoria, abordando cenários de redes auto-organizadas (SON) num contexto NFV/SDN, sendo um destes cenários a deteção e predição de potenciais anomalias de redes e serviços. O trabalho de investigação foi enquadrado num projeto de I&D designado SELFNET (A Framework for Self-Organized Network Management in Virtualized and Software Defined Networks) financiado pela Comissão Europeia no âmbito do programa H2020 5G-PPP, sendo a Altice Labs um dos parceiros participantes deste projeto. Avanços em sistemas de gestão de desempenho em cenários 5G requerem agregação, correlação e análise de dados recolhidos destes elementos de rede programáveis e virtualizados. Ferramentas de monitoria open-source e ferramentas catalog-driven foram integradas ou desenvolvidas com este propósito, e os resultados mostram que estas preencheram os requisitos do projeto SELFNET com sucesso. As plataformas de gestão de desempenho das operadoras de rede atualmente em produção estão concebidas para redes não virtualizadas (non-NFV) e não programáveis (non- SDN), e o conhecimento adquirido durante este trabalho de investigação permitiu à Altice Labs compreender como a sua plataforma de gestão de desempenho (Altaia) terá que evoluir por forma a preparar-se para a próxima geração de redes móveis 5G.
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Book chapters on the topic "5G Telemedicine Monitoring Platform"

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Druga, Corneliu Nicolae, I. C. Rosca, I. Serban, and I. Tatulea. "Low-Cost Telemedicine Platform for Monitoring Patients Suspected of Being Infected with SAR-COV-2." In IFMBE Proceedings. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-92328-0_85.

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Jerichow, Anja, Péter Szilágyi, Gerald Kunzmann, and Chaitanya Aggarwal. "5G-Supported Disease Monitoring." In Cybersecurity Crisis Management and Lessons Learned From the COVID-19 Pandemic. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-7998-9164-2.ch007.

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Proximity tracing between individuals for detecting contact persons is seen by several disease control authorities as a key instrument during the COVID-19 crisis. To develop further the capabilities of infection monitoring and providing automated actionable intelligence, multi-domain data needs to be collected, aggregated, and analyzed. The fifth-generation technology standard for broadband cellular networks, the 5G system, can hereby act as a trusted platform for data collection from mobile applications and from the network itself, making use of its cloud native analytics and of its mass-scale alert system, both of which enable coverage of a maximum user population through standard cellular functions. This chapter provides a solution for disease monitoring and alerting using the potential of mobile telecommunication technology for the coupling of user tracking information with specific information on diseases. The authors explore how the 5G system, with its advanced analytics capabilities, can be used for such disease monitoring.
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Koranga, Manisha, Tarun Kumar, Sujata Negi Thakur, Richa Pandey, and Mayurika Joshi. "5G Cityscape." In Secure and Intelligent IoT-Enabled Smart Cities. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-2373-1.ch004.

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The rise of 5G technology marks a significant shift in smart city development, bringing unprecedented connectivity and transformative opportunities. This chapter explores its profound impact on urban evolution, focusing on creating intelligent cityscapes. It examines key 5G components like the radio access network, core network, network slicing, edge computing, and IoT devices, enabling real-time monitoring, efficient resource management, and innovation in transportation, healthcare, public safety, and energy sectors. 5G facilitates intelligent transportation, enhances public safety via high-resolution video surveillance, and revolutionizes healthcare through telemedicine. Augmented reality (AR) and virtual reality (VR) experiences, enabled by 5G, drive innovative urban solutions. The economic and societal implications, including economic growth, job creation, and civic engagement, are discussed. Overall, 5G fosters sustainable, efficient, and citizen-centric urban environments.
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Raj, Sandeep. "A real-time ECG-processing platform for telemedicine applications." In Advances in Telemedicine for Health Monitoring: Technologies, Design and Applications. Institution of Engineering and Technology, 2020. http://dx.doi.org/10.1049/pbhe023e_ch5.

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S, Sheela, Shalini S, Anushree Vardish, and B. R. GuruKishan. "REVOLUTIONIZING HEALTHCARE WITH 5G TECHNOLOGY." In Futuristic Trends in Network & Communication Technologies Volume 3 Book 2. Iterative International Publisher, Selfypage Developers Pvt Ltd, 2024. http://dx.doi.org/10.58532/v3bgnc2p11ch3.

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The adoption of 5G technology in the healthcare sector has the potential to completely transform the sector by providing quicker, more dependable, and secure communication networks. This study investigates the different uses and advantages of 5G technology in healthcare, emphasizing enhanced patient care, remote monitoring, telemedicine, and data management. 5G technology can speed up diagnosis and treatment decisions by enabling real-time communication between healthcare personnel and patients. This is possible thanks to its ultra-low latency and high bandwidth capabilities. More effective and accurate remote monitoring of patients' vital signs and health conditions enables prompt interventions and proactive healthcare management. High-definition video streaming and smooth connectivity can also be added to telemedicine services to improve them, enabling virtual consultations and obviating the need for in-person visits. Utilizing 5G technology can help with healthcare data management issues. Medical gadgets, electronic health records, and wearable sensors can all generate enormous volumes of data that can be effectively transported, stored, and analyzed in the cloud. This makes it easier to make decisions based on data, practice personalized treatment, and perform predictive analytics to improve patient outcomes. Furthermore, the sophisticated encryption and authentication techniques offered by 5G networks solve the security and privacy issues related to healthcare data. This protects patient privacy by guaranteeing the confidentiality and integrity of sensitive medical information. The use of 5G in healthcare, however, has its own set of difficulties, such as infrastructure needs, interoperability issues, and legal and ethical issues. To ensure a seamless integration of 5G technology into current healthcare systems, collaboration between healthcare providers, technology vendors, and legislators is necessary to overcome these issues.
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Alharthi, Adil Fahad, Mohammed Yahya Alzahrani, Ismat Aldmour, Deris Stiawan, Muhammad Fermi Pasha, and Rahmat Budiarto. "Smart Real-Time Internet-of-Things Network Monitoring System." In Powering the Internet of Things With 5G Networks. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-2799-2.ch008.

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The network traffic of the Internet became huge and more complex due to the expansion of the Internet technology in supporting the convergence of IP networks, Internet of Things, and social networks. As a consequence, a more sophisticated network monitoring tool is desired in order to prevent an enterprise network from malware attacks, to maintain its availability as high as possible at any time, and to maintain the network's healthiness. This chapter offers a development of real-time network monitoring tool platform. The research component of this chapter attempts to answer the challenges of making the monitoring tool become smarter and more accurate by applying artificial intelligence techniques. In addition, a research on buffering techniques to speed up the traffic data acquisition process and micro-controller unit design for sensor-based applications are also carried out. In the development component, some ground works has already been done such as network traffic packets capturing modules, and packets decoding modules. The system development uses Java Eclipse platform.
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Venkat Narayana Rao, T., Lahari Mothukuri, and Sangers Bhavana. "IoT Networks for Real-Time Healthcare Monitoring Systems." In Analyzing Current Digital Healthcare Trends Using Social Networks. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-1934-5.ch008.

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In overpopulated nations, the need for medical treatment is increasing along with the population; healthcare difficulties are becoming more common. The population's need for high-quality care is growing despite decreasing treatment costs. An internet of things (IoT) network is a group of hardware and software components, including sensors, gadgets, appliances, and software, that can share data and information among themselves without the assistance of a human. IoT benefits healthcare by enabling remote patient monitoring, telemedicine, medication management, resource optimization, infection control, and more. IoT is crucial in healthcare for remote monitoring, timely interventions, cost reduction, and data-driven care, ultimately improving patient outcomes and healthcare system efficiency. Nowadays, much advancement is taking place in the field of IoT especially in healthcare monitoring. Some of them are wearable IoT-enabled real-time health monitoring system, real-time remote health monitoring system driven by 5G MEC-IoT, which are further discussed in this chapter.
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Panagopoulos, Christos, Andreas Menychtas, Edison Jahaj, et al. "Intelligent Pervasive Monitoring Solution of COVID-19 Patients." In Studies in Health Technology and Informatics. IOS Press, 2022. http://dx.doi.org/10.3233/shti220792.

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The COVID-19 pandemic transforms the healthcare delivery models and accelerates the implementation and the adoption of telemedicine solutions at all levels of the healthcare system. Telehealth services ensure the continuity of care and treatment of both inpatients and outpatients during this pandemic, while reducing the spread of the virus through hospitals. The aim of this paper is to present an intelligent remote monitoring system with innovative data analytics features for COVID-19 patients. The i-COVID platform provides remote COVID-19 patients monitoring. The presented solution is addressed to patients with mild COVID-19 symptoms, as well as it can be used for post intensive-care monitoring. The platform offers advanced analytic capabilities using Proactive AI, to detect health condition deterioration, and automatically trigger personalized support workflows. Remote monitoring of COVID-19 patients using bio-sensors, seems to be an effective tool against the COVID-19 pandemic, as reduces the number of visits to patient screening centres and hospital admissions.
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Patil, Sachin Sambhaji, and B. Saritha. "Healthcare Innovations Utilizing 5G and IoT for Remote Patient Monitoring Telemedicine and Enhanced Health Outcomes." In 5G and IoT for Next Generation Connectivity through Enhanced Network Performance and Seamless Integration. RADemics Research Institute, 2024. https://doi.org/10.71443/9788197933639-08.

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The integration of Remote Patient Monitoring (RPM) technologies within healthcare systems has transformed patient care, enhancing clinical decision-making, improving health outcomes, and fostering patient engagement. This chapter explores the pivotal role of 5G and Internet of Things (IoT) in revolutionizing RPM by enabling real-time data collection and transmission, which was essential for timely interventions and effective chronic disease management. Key challenges related to data integration and interoperability across diverse health systems are addressed, highlighting the necessity for robust compliance and regulatory frameworks to protect patient privacy and data security. Case studies illustrate successful RPM implementations across various clinical applications, including chronic disease management, mental health monitoring, and postoperative care, emphasizing strategies for maximizing patient engagement and experience. Best practices for compliance are outlined, providing RPM providers with actionable strategies to navigate the regulatory landscape while ensuring high-quality patient care. Ultimately, this chapter underscores the significance of RPM in advancing healthcare delivery and outlines future directions for research and practice.
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Varejão Andreão, Rodrigo, Matheus Athayde, Jérôme Boudy, Paulo Aguilar, Italo de Araujo, and Rossana Andrade. "Raspcare: A Telemedicine Platform for the Treatment and Monitoring of Patients with Chronic Diseases." In Assistive Technologies in Smart Cities. IntechOpen, 2018. http://dx.doi.org/10.5772/intechopen.76002.

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Conference papers on the topic "5G Telemedicine Monitoring Platform"

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Asen, Sebastian, Carola Has, Rainer Poeschl, and Stefan Kunze. "Drone-Based and 5G-Connected Multisensor Platform for Forest Monitoring." In 2024 IEEE 12th International Conference on Intelligent Systems (IS). IEEE, 2024. http://dx.doi.org/10.1109/is61756.2024.10705196.

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Hu, Yi, and Jing Liu. "Research on the Construction of Multi-Sport Integrated Training Monitoring Platform Under 5G Network Environment." In 2024 IEEE 2nd International Conference on Sensors, Electronics and Computer Engineering (ICSECE). IEEE, 2024. http://dx.doi.org/10.1109/icsece61636.2024.10729475.

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Letian, Gao, Tang Zhenfang, Luo Peng, Wang Gui, and Huang Du. "Platform Construction of Safety Monitoring for Live Working of Distribution Lines Based on 5G Network." In 2024 International Conference on Computer Communication, Networks and Information Science (CCNIS). IEEE, 2024. https://doi.org/10.1109/ccnis64984.2024.00040.

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Lancheros-Cuesta, Diana Janeth, Antonio Tumialan, Jorge Giovanni, Vargas Hector Perez, and Marcelo Carrizosa. "Telemedicine platform for monitoring diabetic retinopathy." In 2014 9th Iberian Conference on Information Systems and Technologies (CISTI). IEEE, 2014. http://dx.doi.org/10.1109/cisti.2014.6876924.

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Miroslav, K., L. Fedor, and V. Gabriel. "Multi-platform telemedicine system for patient health monitoring." In 2012 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI). IEEE, 2012. http://dx.doi.org/10.1109/bhi.2012.6211525.

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Varela, Martin, Toni Maki, Juho Merilahti, Eva Rodriguez Rodriguez, and Arnaud Runge. "QuoTe an extensible platform for QoE monitoring and benchmarking of telemedicine applications." In 2014 IEEE 16th International Conference on e-Health Networking, Applications and Services (Healthcom 2014). IEEE, 2014. http://dx.doi.org/10.1109/healthcom.2014.7001814.

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Blasco, S., J. D. Uceda, M. Elena, and J. M. Quero. "Design of a Remote Monitoring Platform for Telemedicine Systems Using New Generation Mobile Services." In 2008 International Conference on Complex, Intelligent and Software Intensive Systems. IEEE, 2008. http://dx.doi.org/10.1109/cisis.2008.122.

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Donati, Massimiliano, Alessio Celli, Alessio Ruiu, Sergio Saponara, and Luca Fanucci. "A telemedicine service platform exploiting BT/BLE wearable sensors for remote monitoring of chronic patients." In 2018 7th International Conference on Modern Circuits and Systems Technologies (MOCAST). IEEE, 2018. http://dx.doi.org/10.1109/mocast.2018.8376643.

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Perez, Ramon, Priscilla Benedetti, Matteo Pergolesi, et al. "A Performance Comparison of Virtualization Techniques to Deploy a 5G Monitoring Platform." In 2021 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit). IEEE, 2021. http://dx.doi.org/10.1109/eucnc/6gsummit51104.2021.9482570.

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Faraci, Giuseppe, Angelo Raciti, Santi Rizzo, and Giovanni Schembra. "A 5G platform for Unmanned Aerial Monitoring in Rural Areas: Design and Performance Issues." In 2018 4th IEEE Conference on Network Softwarization and Workshops (NetSoft). IEEE, 2018. http://dx.doi.org/10.1109/netsoft.2018.8459960.

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