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1
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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Puneet, Sharma. "5G and IoT in Hospitals: The Future of Smarter Care." Journal of Advances in Developmental Research 15, no. 1 (2024): 1–5. https://doi.org/10.5281/zenodo.14598783.
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The convergence of 5G technology and the Internet of Things (IoT) is set to redefine healthcare, propelling hospitals toward smarter, more connected ecosystems. These technologies promise to improve patient outcomes, operational efficiency, and real-time data accessibility. 5G’s high bandwidth, ultra-low latency, and massive connectivity complement IoT’s ability to collect and transmit data across a network of connected devices. Together, they create opportunities for telemedicine, precision monitoring, and intelligent automation in hospital environments.This paper explores the transformative impact of 5G and IoT in hospitals, detailing their applications in patient care, operational efficiency, and medical innovation. It also addresses challenges like security, scalability, and regulatory compliance, highlighting strategies for seamless implementation. As healthcare embraces this technological leap, the integration of 5G and IoT emerges as a catalyst for the future of smarter care.
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Diksha Agarwal and Dr. Sanjay Tejasvee. "IoT-Driven Smart Healthcare: Current Trends, Future Prospects, Applications, and Challenges." International Journal of Latest Technology in Engineering Management & Applied Science 14, no. 3 (2025): 417–20. https://doi.org/10.51583/ijltemas.2025.140300046.
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Abstract: IoT (Interent of Things) driven smart healthcare is transforming patient care through connected devices and real-time data. The evidence leans toward applications like remote monitoring and telemedicine, but challenges such as data security and cost remain significant. An unexpected detail is the potential for IoT to bridge global health equity gaps, particularly in underserved regions .Current trends include remote patient monitoring and smart hospitals. Telemedicine is expanding, connecting patients with providers virtually. Future prospects involve personalized medicine and. Blockchain (BChain) and Artificial intelligence (AI) could enhance data security, while ambient intelligence improves care. It seems likely that future prospects include personalized medicine and advanced networks like 5G/6G, enhancing global health access. However there are lot things related to IoT for smart healthcare, but this paper exploring topics around technologies, challenges, and opportunities.
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Mohanram, Praveen, Alice Passarella, Elena Zattoni, Roberto Padovani, Niels König, and Robert H. Schmitt. "5G-Based Multi-Sensor Platform for Monitoring of Workpieces and Machines: Prototype Hardware Design and Firmware." Electronics 11, no. 10 (2022): 1619. http://dx.doi.org/10.3390/electronics11101619.
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In this paper, we introduce a 5G-based multi-sensor platform for monitoring workpieces and machines. The prototype is realized within the EU-funded 5G-SMART project, which aims to enable smart manufacturing through 5G, demonstrating and validating new generation network technology in industrial processes. There are already state-of-the-art solutions, but with drawbacks such as limited flexibility, brief real-time capability, and sensors aimed at single applications. The 5G-SMART multi-sensor platform is designed to overcome these points and meet the requirements of Industry 4.0. The device is equipped with different sensors to acquire multiple data from workpieces and machines of the shop floor, wirelessly connected by 5G to the factory cloud. A hardware design description of the prototype is provided, focusing on the electronic components and their interaction with the microcontroller. Verification of the correct functioning of the board is given, with a basic library for the main peripherals used as a basis for the final firmware.
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Rufai, Kabir Ahmed, Jim Smiley, Patrick Reuter, et al. "3D Remote Monitoring and Diagnosis during a Pandemic: Holoportation and Digital Twin Requirements." Proceedings of the ACM on Human-Computer Interaction 8, ISS (2024): 407–26. http://dx.doi.org/10.1145/3698143.
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COVID-19 regulations presented clinicians with a new set of challenges that affected their ability to efficiently provide patient care and, as a result, telemedicine was rapidly adopted to deliver care remotely. However, these telemedicine platforms undermine patient care due to clinicians' inability to acquire all the relevant patient information required to diagnose and treat the patient. To explore this gap, we conducted a requirements analysis for the development of a 3D remote patient monitoring and diagnosis platform, by using a user-centric design methodology. In this requirements analysis, we elicited information about the clinical domain, identified clinicians’ requirements, elicited clinicians’ insights, and documented the clinicians' requirements. The outcome was the emergence of refined clinicians' requirements to guide the implementation of the Digital Twin concept paired with holoportation for remote 3D monitoring and diagnosis of patients. We anticipate that the application of a 3D telemedicine platform with these requirements for patient care during a pandemic could potentially enhance clinicians' efficiency and the effectiveness of remote patient care.
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Ikram, Muhammad, Kamel Sultan, Muhammad Faisal Lateef, and Abdulrahman S. M. Alqadami. "A Road towards 6G Communication—A Review of 5G Antennas, Arrays, and Wearable Devices." Electronics 11, no. 1 (2022): 169. http://dx.doi.org/10.3390/electronics11010169.
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Next-generation communication systems and wearable technologies aim to achieve high data rates, low energy consumption, and massive connections because of the extensive increase in the number of Internet-of-Things (IoT) and wearable devices. These devices will be employed for many services such as cellular, environment monitoring, telemedicine, biomedical, and smart traffic, etc. Therefore, it is challenging for the current communication devices to accommodate such a high number of services. This article summarizes the motivation and potential of the 6G communication system and discusses its key features. Afterward, the current state-of-the-art of 5G antenna technology, which includes existing 5G antennas and arrays and 5G wearable antennas, are summarized. The article also described the useful methods and techniques of exiting antenna design works that could mitigate the challenges and concerns of the emerging 5G and 6G applications. The key features and requirements of the wearable antennas for next-generation technology are also presented at the end of the paper.
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Cabanillas-Carbonell, Michael, Jorge Pérez-Martínez, and Jaime A. Yáñez. "5G Technology in the Digital Transformation of Healthcare, a Systematic Review." Sustainability 15, no. 4 (2023): 3178. http://dx.doi.org/10.3390/su15043178.
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The world is currently facing one of the biggest problems related to health and the quality of healthcare. According to the goals outlined by WHO in the blueprint for sustainable development (SDG3), one of its objectives is to achieve universal health coverage and ensure a healthy lifestyle. In this regard, it is important to monitor and track the impact of applications that help address this problem. This systematic review provides an analysis of the impact of the 5G network on the use of apps to improve healthcare. An analysis of 343 articles was performed, obtaining 66 relevant articles, the articles were categorized into research conducted with fiber optic backbone network as well as future research. The main medical applications were identified as: telesurgery, mobile ultrasound, biosensor technology, robotic surgery and connected ambulance. In addition, it is classified and answer questions such as the most used to improve medical care and health quality, 5G-based applications used in media to improve medical care and health quality, databases and programming languages in telemedicine are the most used in 5G-based applications, the functionality available for telemedicine based on the use of 5G-based applications.
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Wang, Jiachen. "The Application of 5G Communication Technology in the Medical Field." Highlights in Science, Engineering and Technology 134 (March 30, 2025): 108–13. https://doi.org/10.54097/2xafvn87.
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The emergence of 5G technology has brought subversive changes to the medical field. Its characteristics of low latency, high bandwidth and large-scale equipment connection have significantly improved the efficiency, quality and accessibility of medical services. In telemedicine, 5G overcomes the shortcomings of traditional communication technology, enables patients in remote areas to enjoy high-quality medical services, and promotes the sharing of transnational medical resources. In the management of medical equipment, the Internet of Things technology supported by 5G realizes real-time monitoring and efficient management of equipment, optimizes the utilization rate of equipment and reduces the operating cost of hospitals, as seen in the Guangdong Second Provincial General Hospital's connection of over 30,000 devices for real-time equipment management. However, the full application of 5G in the medical field still faces challenges such as high infrastructure construction costs and increased data security risks. Future advancements integrating 5G with artificial intelligence and big data hold promise for driving precision medicine, global health equity, and the digital transformation of healthcare.
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Alqahtany, Amjad Saud, Salma Ali Khrami, Abdulaziz Shaem Alsharari, et al. "Advancements in telemedicine: Transforming healthcare delivery and enhancing access for providers and patients alike." International journal of health sciences 6, S10 (2022): 1771–85. http://dx.doi.org/10.53730/ijhs.v6ns10.15103.
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Background: The advent of telemedicine marks a significant transformation in healthcare delivery, leveraging technology to improve accessibility and efficiency for both providers and patients. From early methods of distant communication to modern innovations like telehealth and mobile health, telemedicine has evolved alongside technological advancements. Aim: This article explores the historical development, current applications, and future potential of telemedicine, emphasizing its role in enhancing healthcare delivery and access. Methods: The article reviews the evolution of telemedicine, beginning with early communication methods and progressing through significant milestones such as the development of the stethoscope, handwashing practices, and modern technologies like 5G networks, artificial intelligence (AI), and electronic health records (EHRs). It also examines the integration of robotics, mobile health, and sensors in telemedicine. Results: The review highlights telemedicine's impact across various medical disciplines, including surgery, emergency care, and chronic disease management. The integration of advanced technologies has enhanced the capabilities of telemedicine, enabling real-time communication, remote monitoring, and improved patient outcomes. Conclusion: Telemedicine represents a paradigm shift in healthcare, offering solutions to challenges in accessibility and efficiency. Its continued evolution, driven by technological advancements, promises to further revolutionize healthcare delivery, making it more responsive to the needs of providers and patients alike.
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Martín-Sacristán, David, Carlos Ravelo, Pablo Trelis, Miriam Ortiz, and Manuel Fuentes. "Development of a 5G-Connected Ultra-Wideband Radar Platform for Traffic Monitoring in a Campus Environment." Sensors 25, no. 10 (2025): 3203. https://doi.org/10.3390/s25103203.
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This paper presents the design, implementation, and testing of a traffic monitoring platform based on 5G-connected Ultra-Wideband (UWB) radars deployed on a university campus. The development of both connected radars and an IoT platform is detailed. The connected radars integrate commercial components, including a Raspberry Pi (RPi), a UWB radar, a standard enclosure, and a custom communication board featuring a 5G module. The IoT platform, which receives data from the radars via MQTT, is scalable, easily deployable, and supports radar management, data visualization, and external data access via an API. The solution was deployed and tested on campus, demonstrating real-time operation over a commercial 5G network with an estimated median latency between the radar and server of 75 ms. A preliminary evaluation conducted on a single radar during peak-hour traffic on a double-lane road, representing a challenging scenario, indicated a high detection rate of 94.81%, a low false detection rate of 1.02%, a high classification accuracy of 97.29%, and a high direction accuracy of 99.66%. These results validate the system’s capability to deliver accurate traffic monitoring.
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Pintavirooj, Chuchart, Tanapon Keatsamarn, and Treesukon Treebupachatsakul. "Multi-Parameter Vital Sign Telemedicine System Using Web Socket for COVID-19 Pandemics." Healthcare 9, no. 3 (2021): 285. http://dx.doi.org/10.3390/healthcare9030285.
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Telemedicine has become an increasingly important part of the modern healthcare infrastructure, especially in the present situation with the COVID-19 pandemics. Many cloud platforms have been used intensively for Telemedicine. The most popular ones include PubNub, Amazon Web Service, Google Cloud Platform and Microsoft Azure. One of the crucial challenges of telemedicine is the real-time application monitoring for the vital sign. The commercial platform is, by far, not suitable for real-time applications. The alternative is to design a web-based application exploiting Web Socket. This research paper concerns the real-time six-parameter vital-sign monitoring using a web-based application. The six vital-sign parameters are electrocardiogram, temperature, plethysmogram, percent saturation oxygen, blood pressure and heart rate. The six vital-sign parameters were encoded in a web server site and sent to a client site upon logging on. The encoded parameters were then decoded into six vital sign signals. Our proposed multi-parameter vital-sign telemedicine system using Web Socket has successfully remotely monitored the six-parameter vital signs on 4G mobile network with a latency of less than 5 milliseconds.
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Amirah Faihan Alotaibi. "Telemedicine in Pediatric Respiratory Care: Benefits, Challenges, and Future Directions." Journal of Advances and Scholarly Researches in Allied Education 21, no. 5 (2024): 103–7. http://dx.doi.org/10.29070/xhb7k221.
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This study explores the impact of telemedicine on pediatric respiratory care, focusing on its benefits, challenges, and future directions. A mixed-methods approach was employed, involving 150 pediatric patients with chronic respiratory conditions such as asthma and cystic fibrosis, who were randomly assigned to either telemedicine or traditional care groups. The telemedicine group used a digital platform for video consultations, remote monitoring, and health management over a 12-month period. Quantitative data on clinical outcomes, including emergency department visits and hospitalizations, were collected from electronic health records, while patient-reported outcomes were assessed through surveys. Qualitative data were gathered via semi-structured interviews with patients and caregivers. Results indicated that the telemedicine group experienced significantly fewer emergency visits and hospitalizations, higher quality of life scores, better treatment adherence, and greater patient satisfaction compared to the traditional care group. Average oxygen saturation and peak flow rates were also higher in the telemedicine group, and more frequent monitoring alerts were noted.
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C, Manohar. "AI-Assisted Telemedicine Kiosk for Rural India." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 05 (2025): 1–9. https://doi.org/10.55041/ijsrem49184.
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ABSTRACT: The COVID-19 pandemic highlighted the necessity for intelligent and scalable telehealth platforms. RemedyAI is an AI-powered web-based telemedicine platform that allows patients to virtually consult with medical professionals, gain access to smart symptom analysis, and schedule appointments and keep medical records. This paper introduces the architecture, design, and implementation of RemedyAI using a new web stack and augmented with AI algorithms for initial diagnosis and triage. The system is based on modular elements, real-time communication standards, and an easy-to-use interface to guarantee smooth healthcare provisioning. Assessment identifies its capacity to enhance access, minimize in-person visit reliance, and enable early diagnosis of medical conditions.Keywords: Integrated Healthcare Platform, Epidemic Management, Machine Learning, Mathematical Modeling, Real-Time Data, Pandemic Response, Data-Driven Decision Making. Key Words : Telehealth, Artificial Intelligence, Symptom Checker, Remote Healthcare, React, Vite, Vercel, AI in Medicine, Patient Monitoring, Web-based Health Platform
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Elendu, Chukwuka, Tochi C. Elendu, and Ijeoma D. Elendu. "5G-enabled smart hospitals: Innovations in patient care and facility management." Medicine 103, no. 20 (2024): e38239. http://dx.doi.org/10.1097/md.0000000000038239.
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Smart hospitals represent the pinnacle of healthcare innovation, leveraging cutting-edge technologies to transform patient care and facility management. This article addresses the pressing need for effective implementation of 5G technology in smart hospitals, aiming to enhance connectivity, improve patient outcomes, and drive operational efficiency. The methodology employed involves a comprehensive review of existing literature, case studies, and expert insights to analyze the impact of 5G on various aspects of smart hospital operations. The article highlights the significance of 5G technology in enabling real-time data analytics, remote monitoring, and telemedicine, thus revolutionizing healthcare delivery. By providing high-speed, low-latency connectivity, 5G facilitates seamless communication and collaboration among healthcare providers, leading to more efficient diagnosis, treatment, and patient care. Additionally, the adoption of 5G enables smart hospitals to leverage artificial intelligence (AI)-based solutions for predictive analytics, personalized medicine and enhanced patient engagement. Furthermore, the article explores the potential of 5G-enabled smart hospitals in enhancing disaster preparedness and emergency response efforts. Case studies and examples demonstrate how 5G technology can improve situational awareness, coordinate resources, and deliver timely care during natural disasters and pandemics. Overall, this article underscores the transformative impact of 5G technology on smart hospitals and emphasizes the importance of embracing innovation to meet the evolving needs of patients and communities. By adopting 5G technology, smart hospitals can usher in a new era of healthcare delivery characterized by enhanced connectivity, improved patient outcomes, and unparalleled efficiency.
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Joubert, Michael, Pierre-Yves Benhamou, Pauline Schaepelynck, et al. "Remote Monitoring of Diabetes: A Cloud-Connected Digital System for Individuals With Diabetes and Their Health Care Providers." Journal of Diabetes Science and Technology 13, no. 6 (2019): 1161–68. http://dx.doi.org/10.1177/1932296819834054.
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Benefits of telemedicine have been proven in the field of diabetes. Among a number of technical solutions, Diabeo® has been studied in both type 1 and type 2 diabetes with intensive insulin therapy. This digital therapeutic system contains a self-monitoring glucose logbook and offers automated insulin dose recommendations thanks to a fully customizable algorithm. In addition, the cloud-based dedicated software also has features to facilitate remote monitoring, including a platform for diabetes nurses who perform coaching and treatment adjustment. A detailed description of this telemedicine system is provided, as well as results of completed clinical studies. In particular, TeleDiab 1’s positive results on HbA1c in type 1 diabetes are detailed. We conclude with a discussion of the role of this telemedicine system within the landscape of mobile apps for diabetes.
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Samuel Olaoluwa Folorunsho, Olubunmi Adeolu Adenekan, Chinedu Ezeigweneme, Ike Chidiebere Somadina, and Patrick Azuka Okeleke. "The transformative impact of 5G technology on business operations and industry innovation." International Journal of Frontiers in Engineering and Technology Research 7, no. 1 (2024): 033–52. http://dx.doi.org/10.53294/ijfetr.2024.7.1.0039.
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The advent of 5G technology marks a significant milestone in the evolution of telecommunications, offering unprecedented opportunities for transforming business operations and fostering industry innovation. This paper aims to explore the multifaceted impact of 5G technology on various business sectors, analyzing how its enhanced capabilities—such as ultra-low latency, high-speed connectivity, and massive device connectivity—are revolutionizing traditional business models and operational frameworks. The research methodology comprises a comprehensive literature review, case studies of early 5G adopters, and empirical analysis of industry-specific applications. Key industries examined include manufacturing, healthcare, logistics, and retail, where the deployment of 5G technology has demonstrated substantial improvements in efficiency, productivity, and customer engagement. For instance, in manufacturing, 5G enables real-time monitoring and predictive maintenance through IoT integration, significantly reducing downtime and operational costs. In healthcare, 5G supports telemedicine and remote surgeries, enhancing patient care and accessibility. Our findings indicate that businesses leveraging 5G technology are witnessing accelerated digital transformation, with significant competitive advantages and innovation capabilities. However, the transition also presents challenges such as high infrastructure costs, cybersecurity risks, and the need for regulatory alignment. The transformative impact of 5G technology on business operations and industry innovation is profound, heralding a new era of connectivity and smart solutions. To fully realize its potential, businesses must strategically invest in 5G infrastructure, address security concerns, and foster a collaborative ecosystem among stakeholders. This paper provides valuable insights for policymakers, industry leaders, and researchers to navigate the complexities and harness the benefits of 5G technology in the modern business landscape.
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Ramirez Lopez, Leonardo Juan, Norman Eduardo Jaimes Salazar, and Juan Sabastian Orozco Duran. "Open-Source Telemedicine Platform Based on WebSockets for Management of Biosignals." Electronics 13, no. 22 (2024): 4365. http://dx.doi.org/10.3390/electronics13224365.
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The main objective of this project was to develop a remote monitoring solution using an open-source platform, the e-health platform V2.0, which served as the foundation for this solution due to its capability to integrate various tools and technologies. The project involved measurements from six sensors including “temperature, electrocardiogram, airflow, beats per minute, blood oxygen saturation”, and focused on finding a method to implement these communications. WebSockets were identified as a suitable solution, facilitating the task of interconnection. Leveraging backend frameworks like Express and frontend frameworks like React allowed for a seamless integration of different components within the project. The integration of these frameworks enhanced project development efficiency and enabled an easy implementation of new functionalities. By utilizing the e-health platform V2.0 and leveraging WebSocket along with backend and frontend frameworks, this project successfully developed a remote monitoring solution for the seamless management of biosignals. The solution’s flexibility and scalability provide a solid foundation for further advancements and the integration of additional features.
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Chao Kang, Chia, Yee Heng Teh, Jian Ding Tan, Mohammad Mahdi Ariannejad, and Siti Balqis Samdin. "Review of 5G Wireless Cellular Network on Covid-19 Pandemic: Digital Healthcare & Challenges." Jurnal Kejuruteraan 35, no. 3 (2023): 551–56. http://dx.doi.org/10.17576/jkukm-2023-35(3)-02.
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Since the coronavirus disease (COVID-19) began in 2020, it has changed the way people live such as social life and healthcare. One of the simplest ways to avoid wide spread of the virus is to minimize physical contact and avoid going to a crowded place. Besides that, it also has prompted countries across the world to employ digital technologies such as wireless communication systems to combat this global crisis. Digital healthcare is one of the solutions that play a crucial role to support the healthcare sector in order to prevent and minimize physical contact through telehealth and telemedicine such as monitoring, diagnosis and patient care. 5G network has the potential to advance digital healthcare along with its key technology such as enhanced Mobile Broadband (eMBB), Ultra Reliable and Low Latency Communication (URLLC), and massive Machine Type Communication (mMTC). Despite the benefits of digital healthcare by leveraging the 5G technology, there are still challenges to be overcome such as privacy protection issues, 5G deployment and limited connectivity. In this review, it highlights the relevance and challenges of 5G wireless cellular networks for digital healthcare during the COVID-19 pandemic. It also provides potential solutions and future research areas for researchers on 5G to reduce COVID-19 related health risks.
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Sambandan, Devaraj, and Devi Thirupathi. "Towards a Unified Management Interface for 5G Sensor Networks: Interoperability between Yet Another Next Generation and Open Platform Communication Unified Architecture." Sensors 24, no. 19 (2024): 6231. http://dx.doi.org/10.3390/s24196231.
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Fifth-generation (5G) sensor networks are critical enablers of Industry 4.0, facilitating real-time monitoring and control of industrial processes. However, significant challenges to their deployment in industrial settings remain, such as a lack of support for interoperability and manageability with existing industrial applications and the specialized technical expertise required for the management of private 5G sensor networks. This research proposes a solution to achieve interoperability between private 5G sensor networks and industrial applications by mapping Yet Another Next Generation (YANG) models to Open Platform Communication Unified Architecture (OPC UA) models. An OPC UA pyang plugin, developed to convert YANG models into OPC UA design model files, has been made available on GitHub for open access. The key finding of this research is that the proposed solution enables seamless interoperability without requiring modifications to the private 5G sensor network components, thus enhancing the efficiency and reliability of industrial automation systems. By leveraging existing industrial applications, the management and monitoring of private 5G networks are streamlined. Unlike prior studies that explored OPC UA’s integration with other protocols, this work is the first to focus on the YANG–OPC UA integration, filling a critical gap in Industry 4.0 enablement research.
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Tang, Zhongyun, Haiyang Hu, Chonghuan Xu, and Kaidi Zhao. "Exploring an Efficient Remote Biomedical Signal Monitoring Framework for Personal Health in the COVID-19 Pandemic." International Journal of Environmental Research and Public Health 18, no. 17 (2021): 9037. http://dx.doi.org/10.3390/ijerph18179037.
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Nowadays people are mostly focused on their work while ignoring their health which in turn is creating a drastic effect on their health in the long run. Remote health monitoring through telemedicine can help people discover potential health threats in time. In the COVID-19 pandemic, remote health monitoring can help obtain and analyze biomedical signals including human body temperature without direct body contact. This technique is of great significance to achieve safe and efficient health monitoring in the COVID-19 pandemic. Existing remote biomedical signal monitoring methods cannot effectively analyze the time series data. This paper designs a remote biomedical signal monitoring framework combining the Internet of Things (IoT), 5G communication and artificial intelligence techniques. In the constructed framework, IoT devices are used to collect biomedical signals at the perception layer. Subsequently, the biomedical signals are transmitted through the 5G network to the cloud server where the GRU-AE deep learning model is deployed. It is noteworthy that the proposed GRU-AE model can analyze multi-dimensional biomedical signals in time series. Finally, this paper conducts a 24-week monitoring experiment for 2000 subjects of different ages to obtain real data. Compared with the traditional biomedical signal monitoring method based on the AutoEncoder model, the GRU-AE model has better performance. The research has an important role in promoting the development of biomedical signal monitoring techniques, which can be effectively applied to some kinds of remote health monitoring scenario.
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Niculescu, Manole-Stefan, Adriana Florescu, and Sever Pasca. "LabConcept—A New Mobile Healthcare Platform for Standardizing Patient Results in Telemedicine." Applied Sciences 11, no. 4 (2021): 1935. http://dx.doi.org/10.3390/app11041935.
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The aim of this paper is to present a new original software platform, called LabConcept, that is designed for monitoring health activity in order to establish a more efficient treatment plan and provide a better lifestyle via telemedicine. It is fully designed by the authors and embeds all the patient’s healthcare information into a mobile software application, compatible with smartphones, laptops or other mobile devices. The novelty consists in standardizing the laboratory and the point-of-care results into a Quick Response (QR) code that is printed on every result bulletin issued and given to the patient after his routine blood assays are performed. Compared to the existing telemedicine software (VSee, Teladoc, TheraPlatform, Chiron Health), which have the basic videoconferencing role, LabConcept has a set of new important features that start from the concept of telemedicine, designed to load and create databases for all the assayed results in order to be sent to the doctor’s LabConcept application for professional interpretation. The software also analyzes the clinical evolution of an assay on a user-predefined period of time, automatically pre-diagnoses and alerts the user about a potential disorder from the stored results and records comments regarding the efficiency of the patient’s treatment plan. LabConcept is an easy and safe end-to-end real-time patient–doctor communication channel, conducive to improved monitoring and treatment procedures for the patient.
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Poretskova, G. Yu, A. V. Ivaschenko, A. A. Tyazheva, S. V. Plakhotnikova, G. E. Zhdanovich, and E. V. Chekina. "An ontological approach to digitalization of medical check-ups and follow-up medical care based on a telemedicine platform." Ontology of designing 15, no. 2 (2025): 187–97. https://doi.org/10.18287/2223-9537-2025-15-2-187-197.
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An ontological approach to developing a digital telemedicine platform is proposed, enabling the configuration and cus-tomization of medical data collection and processing workflows in real-time based on specific objectives and applica-tions. For the first time, the generalized problem of medical check-up is formulated as a multicriteria optimization prob-lem of operations research. Implementation options for a digital telemedicine platform designed for periodic medical check-ups and patient monitoring are presented, along with recommendations for a software architecture that can adapt to practical healthcare requirements. The platform’s knowledge base is structured as a semantic network, inte-grating concepts with their corresponding attributes and linking digital patient profiles to medical diagnostic results. The use of ontology ensures the configurability and adaptability of the digital telemedicine platform, enhancing its efficien-cy in healthcare institutions for medical data collection. The experience of implementing a digital telemedicine plat-form with ontology-based customization of data collection processes has highlighted the need to adapt both the infor-mation and logical models of stored data, as well as data entry processes via interactive user interfaces, thereby im-proving medical personnel productivity. The proposed approach has potential for collecting data for training artificial neural networks in medical decision support systems.
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Raspet, Erin, and Lindsay Gietzen. "Perceptions of telehealth use by PAs post-COVID-19." JAAPA 37, no. 8 (2024): 42–46. http://dx.doi.org/10.1097/01.jaa.0000000000000060.
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ABSTRACT Objective: Use of telemedicine and remote patient monitoring can provide significant cost savings through improved disease control and reduced exacerbations. This study investigated physician associates'/assistants' (PAs') perceptions of telemedicine to inform future use and expansion of these programs. Methods: The Telehealth Usability Questionnaire was completed by 30 PAs recruited via social media. Data were coded and analyzed through an electronic spreadsheet program. Results: PAs generally felt that telemedicine was a helpful tool to increase access to care (M = 4.129) but did not replace in-person visits. Variation in responses related specifically to the platform indicated PAs' varying experiences about ease of use. Conclusions: Findings demonstrated that PAs from a variety of practice settings found telemedicine to be a helpful tool to reduce barriers and improve access to care. However, PAs did not feel that telemedicine replaces in-person visits.
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Hameed, Kashif, Imran Sarwar Bajwa, Nadeem Sarwar, Waheed Anwar, Zaigham Mushtaq, and Tayyaba Rashid. "Integration of 5G and Block-Chain Technologies in Smart Telemedicine Using IoT." Journal of Healthcare Engineering 2021 (March 22, 2021): 1–18. http://dx.doi.org/10.1155/2021/8814364.
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The Internet of Health Thing (IoHT) has various applications in healthcare. Modern IoHTintegrates health-related things like sensors and remotely observed medical devices for the assessment and managment of a patient's record to provide smarter and efficient health diagnostics to the patient. In this paper, we proposed an IoT with a cloud-based clinical decision support system for prediction and observation of disease with its severity level with the integration of 5G services and block-chain technologies. A block-chain is a system for storing and sharing information that is secure because of its transparency. Block-chain has many applications in healthcare and can improve mobile health applications, monitoring devices, sharing and storing of the electronic media records, clinical trial data, and insurance information storage. The proposed framework will collect the data of patients through medical devices that will be attached to the patient, and these data will be stored in a cloud server with relevant medical records. Deployment of Block-chain and 5G technology allows for sending patient data securely at a fast transmission rate with efficient response time. Furthermore, a Neural Network (NN) classifier is used for the prediction of diseases and their severity level. The proposed model is validated by employing different classifiers. The performance of different classifiers is measured by comparing the values to select the classifier that is the best for the dataset. The NN classifier attains an accuracy of 98.98. Furthermore, the NN is trained for the dataset so that it can predict the result of the dataset class that is not labeled. The trained Neural Network predicts and intelligently shows the results with more accuracy than other classifiers.
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Li, Xiangjun, Lizhi Dong, and Shaohua Xu. "Battery Energy Storage System Integration and Monitoring Method Based on 5G and Cloud Technology." E3S Web of Conferences 243 (2021): 01007. http://dx.doi.org/10.1051/e3sconf/202124301007.
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The large-scale battery energy storage scatted accessing to distribution power grid is difficult to manage, which is difficult to make full use of its fast response ability in peak shaving and frequency modulation. With the rapid development of 5G and cloud technology, it is possible to realize interconnection of distributed battery energy storage system (BESS), cloud integration of energy storage system (ESS) and data edge computing. In this paper, a BESS integration and monitoring method based on 5G and cloud technology is proposed, containing the system overall architecture, 5G key technology points, system margin calculation. Therefore, rapid, accurate and flexible control of BESS can be realized, which make more use of BESS in peak shaving and shifting, new energy consumption, electric power bidding platform and other fields.
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Bykova, Maria, Svetlana Baranovskaya, Vadim Boykov, et al. "TELEMEDICINE IN PSYCHIATRY: GLOBAL AND DOMESTIC EXPERIENCE." Social Aspects of Population Health 69, no. 3 (2023): 1. http://dx.doi.org/10.21045/2071-5021-2023-69-3-1.
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Significance. The use of telemedicine technologies can solve the existing problems of accessibility of medical care and become a supplement or alternative to face-to-face consultations with specialists. The active use of telemedicine technologies in psychiatry is mainly due to the fact, that most often, patients with mental disorders do not require instrumental methods of diagnosis to correct their treatment and assess the course of the disease. Despite a widespread use and obvious benefits of telemedicine technologies, there are still a number of issues that require a detailed study. The key issue is the assessment of efficacy of tools used to treat and diagnose patients with mental disorders, as well as identification of factors that contribute to and limit the spread of telemedicine technologies in psychiatry. The purpose of the study is to summarize and analyze available data on the use of telemedicine technologies in treatment and diagnosis of patients with mental disorders in Russia and in the world. Material and Methods. This review includes studies published between 2001 and 2022. The search for publications was carried out in the databases PubMed, Google Scholar, Elibrary. The keywords included "remote monitoring of mental disorder", "telepsychiatry in COVID-19", "platform for monitoring mental disorders", "telemedicine in psychiatry", "remote monitoring in psychiatry". A total of 218 704 publications were found. After the initial screening, 100 sources were selected for the analysis. Of these, 60 were excluded due to a smaller sample size compared to the included sources, absence or incompleteness of information necessary to realize the idea of the publication. In total, 40 publications were included in the analysis with their content corresponding to the main research question: to identify main direct and indirect advantages of using telemedicine technologies in psychiatry. Results. The analysis of the experience of using telemedicine technologies in psychiatry shows that the use of technologies for remote monitoring in practical medicine expands the capabilities of both doctor and patient, allowing them to monitor the state of health and adjust treatment, as well as receive consultations from other specialists, reducing the number of face-to-face visits to a medical facility. However, today there are a number of challenges that the professional community has to face, including safety assurance of patient data and quality assessment of remote consultations on the part of the doctor and on the part of the patient. In order to ensure a widespread use and dissemination of telemedicine in psychiatry, it is necessary to solve the issues related to identification and authentication of telemedicine consultation participants, development of a list of conditions for which the use of telepsychiatry will be justified and safe for the patient, regulation of the procedure for prescribing medications and correction of the prescribed therapy, as well as identification of approaches to selecting platform solutions for remote counseling.
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Chirra, Martina, Luca Marsili, Linsdey Wattley, et al. "Telemedicine in Neurological Disorders: Opportunities and Challenges." Telemedicine and e-Health 25, no. 7 (2018): 541–50. https://doi.org/10.1089/tmj.2018.0101.
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Introduction: Telemedicine represents an emerging model for the assessment and management of various neurological disorders. Methods: We sought to discuss opportunities and challenges for the integration of telemedicine in the management of common and uncommon neurological disorders by reviewing and appraising studies that evaluate telemedicine as a means to facilitate the access to care, deliver highly specialized visits, diagnostic consultations, rehabilitation, and remote monitoring of neurological disorders. Results: Opportunities for telemedicine in neurological disorders include the replacement of or complement to in-office evaluations, decreased time between follow-up visits, reduction in disparities in access to healthcare, and promotion of education and training through interactions between primary care physicians and tertiary referral centers. Critical challenges include the integration of the systems for data monitoring with an easy-to-use, secure, and cost-effective platform that is both widely adopted by patients and healthcare systems and embraced by international scientific societies. Conclusions: Multiple applications may spawn from a model based on digitalized healthcare services. Integrated efforts from multiple stakeholders will be required to develop an interoperable software platform capable of providing not only a holistic approach to care but also one that reduces disparities in the access to care. Final publication is available from Mary Ann Liebert, Inc., publishers https://dx.doi.org/10.1089/tmj.2018.0101. Deposited by shareyourpaper.org and openaccessbutton.org. We've taken reasonable steps to ensure this content doesn't violate copyright. However, if you think it does you can request a takedown by emailing help@openaccessbutton.org.
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Galvan, Pedro, José Ortellado, Ronald Rivas, Benicio Grossling, and Enrique Hilario. "PP84 Developing The Network For The Future Of Healthcare Through Telemedicine-Driven Diagnostic Innovation." International Journal of Technology Assessment in Health Care 40, S1 (2024): S89. https://doi.org/10.1017/s0266462324002538.
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IntroductionThe healthcare digital landscape has evolved and is crucial in shaping strategies for fortifying the health system, specifically in building a network for the future of health services. There is also considerable interest in digital health to facilitate innovation and access to health services in underserved hospitals. This study has evaluated the results of a telemedicine-driven diagnostic network in remote Paraguayan hospitals.MethodsThis is a descriptive study, where the results using a digital telemedicine-driven diagnosis innovation in remote public hospitals were evaluated as a tool to improve equity and accessibility of specialized diagnostic services countrywide. For these purposes, the type and frequency of diagnosis performed through a digital telemedicine platform was determined.ResultsDuring the study, a futuristic telemedicine-driven diagnostic innovation was implemented in 67 hospitals countrywide. The digital telediagnosis network facilitated tele-electrocardiography (ECG), teletomography, tele-electroencephalography (EEG), tele-Holter and tele-ABPM (ambulatory blood pressure monitoring). The implemented digital telemedicine network has performed 828,073 tests in total between 2013 and 2023. The most performed diagnoses were ECG (543,815 tests) followed by teletomography (266,750 tests), EEG (17,418 tests), Holter (43 tests), and ABPM (28 tests).ConclusionsAccording to our results, the telemedicine-driven diagnostic innovation network facilitates faster and more equitable access to tertiary-level diagnostic services for patients in remote underserved public hospitals in Paraguay. A widespread use-assessment is necessary before this platform is implemented.
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Schiller, Tal, Taiba Zornitzki, Viviana Ostrovsky, et al. "Following the COVID-19 Experience, Many Patients with Type 1 Diabetes Wish to Use Telemedicine in a Hybrid Format." International Journal of Environmental Research and Public Health 18, no. 21 (2021): 11309. http://dx.doi.org/10.3390/ijerph182111309.
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Background: The COVID-19 pandemic has brought to light both challenges and unique opportunities regarding type 1 diabetes (T1D) management, including the usage of telemedicine platforms. Methods: This study was conducted in a tertiary hospital diabetes clinic. All consecutive T1D patients during March and June 2021 were asked to fill out a structured anonymous questionnaire that aimed to determine their preference regarding continuous use of a virtual platform. Results: In total, 126 T1D patients answered the questionnaire, of whom 51% were under the age of 40, half were men, half used insulin pumps, and 69% used continuous glucose monitoring. During the pandemic, the exposure of patients to virtual visits has grown about twofold, from 29% to 53%. Of the respondents, 49% expressed an interest in future usage of a virtual platform, but most of them preferred use in a hybrid manner. We found an association between preference to use telemedicine in the future and younger age, previous virtual platform experience, and confidence in being able to download data. Conclusions: Our data demonstrate that the COVID-19 experience has led to a growing interest of T1D patients in using the hybrid format of telemedicine. However, we still need to better understand who will benefit most from this platform and assess its cost-effectiveness and organization.
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Mulyaningrum, Fathiya Nissa, and Nadya Raihanny. "Analysis of User Satisfaction of Telemedicine Services During COVID-19 Self-Isolation among FPH Students at the University of Indonesia." Jurnal Biostatistik, Kependudukan, dan Informatika Kesehatan 4, no. 2 (2024): 99. http://dx.doi.org/10.51181/bikfokes.v4i2.7872.
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Telemedicine has become a new paradigm in the world of health since its popular use to assist the Ministry of Health in monitoring self-isolating patients during the COVID-19 pandemic. This study aims to analyze service quality variables related to user satisfaction with telemedicine services during COVID-19 self-isolation among students in FPH UI. This research is quantitative research with a cross-sectional approach. The results show that the platform most widely used for telemedicine services during the COVID-19 pandemic was platform H by 25 people. The average satisfaction of telemedicine users during self-isolation tends to be high, namely 3.8 with the lowest value being 2.3 (SD=0.534). Service quality and user satisfaction are all positively correlated with weak to strong correlation levels, namely responsiveness (r=0.306), service reliability (r=0.598), information quality (r=0.490), empathy (r=0.509), ease of service (r=0.633), perceived usefulness (r=0.486). The quality improvement factor is based on high satisfaction in easier appointment registration, savings in out-of-pocket costs for travel and queuing time at health services. However, holistic health and regulatory services are needed to address user data security threats.
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RABEARISON, Heriniaina Mamitina. "Design of a Low-Cost, Energy-Efficient Telemedicine Platform: An Innovative Solution for Medical Consultations in Remote Areas." International Journal of Advances in Engineering and Management (IJAEM) 7, no. 03 Mar. 2025 (2025): 90–121. https://doi.org/10.35629/5252-070390121.
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In response to the increasing demand for healthcare in remote and underserved regions, healthcare professionals are turning to innovative technologies. Telemedicine stands out as a promising solution, improving access to medical services and optimizing resource utilization. It enhances patient–provider interactions without the need for physical presence and enables remote monitoring of vital health indicators.This paper presents the design and development of a low-cost, energy-efficient telemedicine platform tailored for remote medical consultations. The system supports real-time acquisition, transmission, and visualization of key physiological parameters, including ECG, SpO₂, heart rate, blood pressure, and body temperature.The platform leverages low-power biomedical sensors and commercially available electronic modules, integrating onboard data processing algorithms to enhance diagnostic reliability. Its modular architecture comprises an acquisition unit, a communication module, a management platform, and user-friendly visualization interfaces, all designed to address the specific constraints of remote and low-resource settings.
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Subhash Manohar Chodhary, Rajender Singh Khatana, Dr. Puneet, and Dr. Shiv Kumar. "Digital Platforms as Catalysts for Innovation in Infection Surveillance and Telemedicine." International Journal of Scientific Research in Science and Technology 12, no. 3 (2025): 861–68. https://doi.org/10.32628/ijsrst2512396.
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Digital platforms are playing a transformative role in modern healthcare, especially in expanding access and enhancing the efficiency of medical services. Telemedicine and mobile health (mHealth) technologies have emerged as key innovations, enabling remote diagnostics, consultation, treatment, and monitoring. With real-time data sharing, wearable biosensors, AI-powered diagnostics, and secure video consultations, these technologies are bridging the gap between healthcare providers and patients, particularly in underserved regions. India has been a notable participant in this digital health revolution, launching multiple public and private initiatives since the early 2000s. These include mobile telemedicine units like The Bike Doc, digital clinics, the National Telemedicine Portal, and partnerships with international networks. Government programs such as the Integrated Disease Surveillance Project (IDSP), Village Resource Centres (VRCs), and the AROGYASREE platform exemplify India’s commitment to leveraging digital technologies for public health. Additionally, telemedicine supports infection prevention through electronic monitoring systems, smart EMRs, and machine learning–based decision support tools. Key infection control practices such as PPE use, hand hygiene, and environmental cleanliness are now integrated with digital protocols for better compliance and accountability. Despite infrastructure challenges and limited awareness, telemedicine has shown substantial promise in disaster response, chronic disease management, and education. As wireless technologies and health data standards advance, telemedicine is expected to achieve broader implementation, both nationally and globally, contributing significantly to equitable and resilient healthcare systems.
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Foppiani, Andrea, Chiara Montanari, Sara Zanelli, Michele Davide Maria Lombardo, Valeria Calcaterra, and Gianvincenzo Zuccotti. "Long-COVID symptom monitoring: Insights from a two-year telemedicine study." PLOS ONE 19, no. 7 (2024): e0307834. http://dx.doi.org/10.1371/journal.pone.0307834.
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Background The diverse manifestations of Long-COVID have become increasingly important due to their significant impact on patients’ lives. Telemedicine has emerged as an important tool for post COVID-19 follow-up. This study is part of a large cohort study involving COVID-positive patients monitored by the COD19 telemedicine platform operations center. We recontacted patients who were initially monitored from February 2020 to May 2020 to assess the presence of Long-COVID symptoms at a 2-year follow-up. Methods We conducted interviews to evaluate Long-COVID symptoms at the 2-year mark and investigated whether patients had contracted a second COVID-19 infection between the 1-year and 2-year follow-ups, and recorded their vaccination status. Results Out of 165 patients, 139 (84%) reported symptoms at the 1-year follow-up, while only 101 (61%) reported symptoms at the 2-year follow-up. Among patients with Long-COVID symptoms at the 2-year follow-up, the majority (80, 49%) had experienced Long-COVID at the 1-year follow-up, received the SARS-CoV-2 vaccine, and had not experienced a second infection between the two follow-ups. Both having Long-COVID at the 1-year follow-up and contracting a second infection were significant risk factors for presenting with Long-COVID at the 2-year follow-up. Conclusions To the best of our knowledge, this study stands out as one of the few that includes a 2-year follow-up on Long-COVID symptoms using telemedicine. Telemedicine has proven to be an effective and innovative tool for long-term patient monitoring, early diagnosis, and treatment. Telemedicine represents a significant future challenge for healthcare.
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Chen, Lanzhen, Rudan Lin, Xiaopeng Li, and Xiaopan Ding. "Intelligent Public Health Platform: A Multi-Stage Operational Process for Emergency Prevention and Health Management." International Journal of Electric Power and Energy Studies 3, no. 3 (2025): 24–32. https://doi.org/10.62051/ijepes.v3n3.04.
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The deep integration of IoT technology and 5G communication is reshaping the public health emergency response system. This paper centers on the construction of an intelligent public health prevention and control platform, focusing on its operational process and expected results. The platform covers three stages: pre-hospital emergency response, in-hospital treatment and post-hospital rehabilitation. It constructs a multi-level collaborative intelligent medical system, integrating core modules such as 5G emergency vehicle dynamic dispatching, real-time transmission of multimodal vital signs, and intelligent allocation of regional resources. The platform realizes precise positioning of pre-hospital patients and ambulance path optimization, dynamic allocation of ICU and emergency beds within the hospital, and post-hospital remote health monitoring and personalized rehabilitation management. The platform not only supports highly effective response to public health emergencies, but also promotes the intelligence and refinement of medical processes by optimizing the allocation of medical resources and improving the level of health management.
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Rabearison, heriniaina Mamitina, fanjanirina Razafison, nomena Razafimanjato, manohinaina Zafintsalama, and harlin Andriatsihoarana. "Design of a Low-Cost, Energy-Efficient Telemedicine Platform: An Innovative Solution for Medical Consultations in Remote Areas." International Journal of Advances in Engineering and Management 7, no. 3 (2025): 90–121. https://doi.org/10.35629/5252-070390121.
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In response to the growing demand for healthcare in remote areas, healthcare professionals are compelled to seek innovative solutions. Telemedicine emerges as an effective answer, enhancing access to care and optimizing the use of medical resources. It strengthens interactions between patients and healthcare providers without requiring physical travel and facilitates the remote monitoring of vital signs.This paper presents the design of a low-cost, energyefficient telemedicine platform for medical consultations in remote areas. The system enables real-time collection and visualization of vital parameters such as ECG, SpO2, heart rate, blood pressure, and body temperature. It leverages lowpower sensors and commercially available modules, integrating data processing algorithms to improve diagnostic accuracy. The solution includes an acquisition unit, a communication unit, a management platform, and visualization interfaces tailored to the challenges of remote locations.
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Inayah, Cantika Tri, Ade Silvia Handayani, and Nasron Nasron. "IoT-Based Medical Health Monitoring System with a Web Interface." PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic 12, no. 2 (2024): 355–64. http://dx.doi.org/10.33558/piksel.v12i2.9830.
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Health technology is increasingly developing along with the development of information and communication technology, where these advances are used to improve the quality of health services, especially in remote patient monitoring through telemedicine, M-Health and Telehealth. The development of the times has also brought telemedicine to a wider realm through M-Health and Telehealth which uses digital technology and wireless communication to enable monitoring of patient conditions, besides that websites are also used for wireless monitoring and data collection of patients because they have wide accessibility. This study aims to design a website that can integrate the data of the size of health sensor devices into an Internet of Things-based platform to display body temperature, blood oxygen, and ECG data in real-time. The test results show that all website features are running well, where the website runs well depending on the network used.
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Smita Verma. "Cybersecurity in Telemedicine: A Technical Implementation Guide." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 11, no. 2 (2025): 993–1001. https://doi.org/10.32628/cseit25112414.
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The rapid evolution of telemedicine has fundamentally transformed healthcare delivery while introducing complex cybersecurity challenges. This comprehensive article examines critical security components, third-party risk management, compliance frameworks, and incident response strategies in virtual healthcare environments. The article explores encryption implementations, authentication mechanisms, and secure communication architectures essential for protecting patient data. It addresses HIPAA technical safeguards, security training protocols, and platform architecture considerations while highlighting the importance of continuous security testing and monitoring. The article emphasizes the need for healthcare organizations to balance operational efficiency with robust security measures, focusing on automated threat detection, forensic capabilities, and recovery protocols to maintain the integrity and confidentiality of healthcare systems.
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Scheffler, M., and E. Hirt. "Wearable devices for telemedicine applications." Journal of Telemedicine and Telecare 11, no. 1_suppl (2005): 11–14. http://dx.doi.org/10.1258/1357633054461994.
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Wearable medical devices can provide both continuous monitoring and ubiquitous treatment. Challenges in this area include the need for a low-power/power-saving design to extend battery life and to reduce the size of the battery itself. This is followed by size and weight restrictions to meet patient expectations of what is ‘wearable’, the biocompatibility of all outer housings and the final assembly concept. Two examples of wearable medical device are described: a wrist-wearable telemedicine monitor for heart patients (AMON) and a generic belt-integrated computing platform for home and hospital use (QBIC). The electrocardiogram (ECG), the blood oxygen saturation (SpO2) sensor and the blood pressure meter of the AMON device were tested with 29 subjects. The sensors were found to be functional, but as expected the data processing algorithms will need some fine-tuning. The prototype QBIC demonstrates a size reduction of 30–50% in relation to comparable devices.
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Quan, Rui, Jian Zhang, and Zixiang Feng. "Remote Fault Diagnosis for the Powertrain System of Fuel Cell Vehicles Based on Random Forest Optimized with a Genetic Algorithm." Sensors 24, no. 4 (2024): 1138. http://dx.doi.org/10.3390/s24041138.
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To enhance the safety and reliability of fuel cell vehicles, a remote monitoring system based on 5th generation (5G) mobile networks and controller area networks (CANs) was designed, and a random forest (RF) algorithm for the fault diagnosis for eight typical malfunctions of its powertrain system was incorporated. Firstly, the information on the powertrain system was obtained through a 5G-based monitoring terminal, and the Alibaba Cloud IoT platform was utilized for data storage and remote monitoring. Secondly, a fault diagnosis model based on the RF algorithm was constructed for fault classification; its parameters were optimized with a genetic algorithm (GA), and it was applied on the Alibaba Cloud PAI platform. Finally, the performance of the proposed RF fault diagnosis model was evaluated by comparing it with three other classification models: random search conditioning, grid search conditioning, and Bayesian optimization. Results show that the model accuracy, F1 score, and kappa value of the optimized RF fault classification model are higher than the other three. The model achieves an F1 value of 97.77% in identifying multiple typical faults of the powertrain system, as validated by vehicle malfunction data. The method demonstrates the feasibility of remote monitoring and fault diagnosis for the powertrain system of fuel cell vehicles.
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Judijanto, Loso, Dito Anurogo, Benny Novico Zani, Dadang Muhammad Hasyim, and Kori Puspita Ningsih. "Implementation of Telemedicine in Health Services: Challenges and Opportunities." Journal of World Future Medicine, Health and Nursing 2, no. 1 (2023): 37–50. http://dx.doi.org/10.70177/health.v2i1.667.
Full textAbstract:
Telemedicine telah menjadi alternatif penting dalam memberikan pelayanan kesehatan, terutama selama pandemi COVID-19. Telemedicine adalah praktik pemberian layanan kesehatan jarak jauh menggunakan teknologi komunikasi seperti telepon, video conference, atau platform online. Namun, masih terdapat tantangan dalam mengimplementasikan teknologi ini secara efektif. Penelitian ini bertujuan untuk mengidentifikasi tantangan utama yang dihadapi dalam mengimplementasikan telemedicine, serta untuk mengevaluasi peluang dan manfaat yang mungkin terwujud dalam memanfaatkan teknologi ini dalam pelayanan kesehatan. Metode penelitian ini menggunakan pendekatan kualitatif. Data juga dikumpulkan melalui studi pustaka untuk memperoleh pemahaman yang komprehensif tentang implementasi telemedicine. Hasil penelitian menunjukkan bahwa tantangan utama dalam implementasi telemedicine meliputi masalah keamanan data, keterbatasan akses teknologi, perubahan dalam praktik klinis, dan regulasi. Namun, terdapat peluang besar dalam meningkatkan akses pelayanan kesehatan, meningkatkan efisiensi, dan memperluas jangkauan pelayanan. Implementasi telemedicine menawarkan potensi besar dalam meningkatkan pelayanan kesehatan, namun tantangan yang ada perlu diatasi dengan strategi yang tepat. Regulasi yang jelas, infrastruktur teknologi yang memadai, serta keterlibatan stakeholder kunci akan menjadi kunci dalam mengoptimalkan manfaat telemedicine dalam pelayanan kesehatan. Dengan telemedicine, diagnosis, konsultasi medis, pengobatan, serta monitoring kondisi medis dapat dilakukan secara efisien dan cepat tanpa memerlukan pertemuan langsung. Teknologi ini sangat membantu dalam mengatasi kendala geografis atau waktu serta meningkatkan aksesibilitas layanan kesehatan bagi individu yang sulit untuk mengunjungi praktisi medis secara langsung.
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Barrachina-Muñoz, S., R. Nikbakht, J. Baranda, et al. "Deploying cloud-native experimental platforms for zero-touch management 5G and beyond networks." IET Networks 12, no. 6 (2023): 305–15. https://doi.org/10.1049/ntw2.12095.
Full textAbstract:
An experimental framework for managing 5G and beyond networks through cloud-native deployments and end-to-end monitoring is presented. The framework uses containerised network functions in a Kubernetes cluster across a multi-domain network spanning cloud and edge hosts. End-to-end monitoring is demonstrated through Grafana dashboards that showcase both infrastructure resources and radio metrics in two scenarios involving UPF re-selection and user mobility. As a third scenario, the authors demonstrate how a decision engine interacts with the experimental platform to perform zero-touch containerised application relocation, highlighting the potential for enabling dynamic and intelligent management of 5G networks and beyond. © 2023 The Authors. IET Networks published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and Technology.