5G Technologies Based Remote E-Health: Architecture, Applications, and
Solutions
- URL: http://arxiv.org/abs/2009.02131v1
- Date: Fri, 4 Sep 2020 12:09:41 GMT
- Title: 5G Technologies Based Remote E-Health: Architecture, Applications, and
Solutions
- Authors: Wei Duan, Yancheng Ji, Yan Zhang, Guoan Zhang, Valerio Frascolla and
Xin Li
- Abstract summary: This article proposes a general architecture of the remote e-health, where the city hospital provides the technical supports and services for remote hospitals.
5G technologies supported telemedicine is introduced to satisfy the high-speed transmission of massive multimedia medical data.
A broad area epidemic prevention and control scheme is also investigated, especially for the remote areas.
- Score: 10.62762334548059
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Currently, many countries are facing the problems of aging population,
serious imbalance of medical resources supply and demand, as well as uneven
geographical distribution, resulting in a huge demand for remote e-health.
Particularly, with invasions of COVID-19, the health of people and even social
stability have been challenged unprecedentedly. To contribute to these urgent
problems, this article proposes a general architecture of the remote e-health,
where the city hospital provides the technical supports and services for remote
hospitals. Meanwhile, 5G technologies supported telemedicine is introduced to
satisfy the high-speed transmission of massive multimedia medical data, and
further realize the sharing of medical resources. Moreover, to turn passivity
into initiative to prevent COVID-19, a broad area epidemic prevention and
control scheme is also investigated, especially for the remote areas. We
discuss their principles and key features, and foresee the challenges,
opportunities, and future research trends. Finally, a node value and content
popularity based caching strategy is introduced to provide a preliminary
solution of the massive data storage and low-latency transmission.
Related papers
- Implementing a Nordic-Baltic Federated Health Data Network: a case
report [56.96209893909196]
We formed an interdisciplinary consortium to develop a feder-ated health data network, comprised of six institutions across five countries.
The objective of this report is to offer early insights into our experiences developing this network.
arXiv Detail & Related papers (2024-09-26T14:15:54Z) - Harnessing the Digital Revolution: A Comprehensive Review of mHealth Applications for Remote Monitoring in Transforming Healthcare Delivery [1.03590082373586]
The review highlights various types of mHealth applications used for remote monitoring, such as telemedicine platforms, mobile apps for chronic disease management, and wearable devices.
The benefits of these applications include improved patient outcomes, increased access to healthcare, reduced healthcare costs, and addressing healthcare disparities.
However, challenges and limitations, such as privacy and security concerns, lack of technical infrastructure, regulatory is-sues, data accuracy, user adherence, and the digital divide, need to be addressed.
arXiv Detail & Related papers (2024-08-26T11:32:43Z) - An AI-Enabled Framework Within Reach for Enhancing Healthcare Sustainability and Fairness [34.45323376456333]
We propose a camera-based public health (CBPH) framework utilizing visual physiological monitoring technology.
CBPH can be considered as a convenient and universal framework for public health, advancing the United Nations Sustainable Development Goals.
CBPH provides a comprehensive solution for building a large-scale and human-centric medical database.
arXiv Detail & Related papers (2024-04-21T04:37:24Z) - Generative AI-Driven Human Digital Twin in IoT-Healthcare: A Comprehensive Survey [53.691704671844406]
The Internet of things (IoT) can significantly enhance the quality of human life, specifically in healthcare.
The human digital twin (HDT) is proposed as an innovative paradigm that can comprehensively characterize the replication of the individual human body.
HDT is envisioned to empower IoT-healthcare beyond the application of healthcare monitoring by acting as a versatile and vivid human digital testbed.
Recently, generative artificial intelligence (GAI) may be a promising solution because it can leverage advanced AI algorithms to automatically create, manipulate, and modify valuable while diverse data.
arXiv Detail & Related papers (2024-01-22T03:17:41Z) - Transitioning towards fit-for-purpose Public Health Surveillance Systems [1.345821655503426]
The COVID-19 pandemic has exposed several weaknesses in the public health infrastructure.
The expansion of testing and contact tracing has been key to identifying and isolating infected individuals.
Digital technologies, such as telemedicine and virtual consultations, have experienced a surge in demand.
arXiv Detail & Related papers (2023-05-26T11:04:41Z) - Data-Centric Epidemic Forecasting: A Survey [56.99209141838794]
This survey delves into various data-driven methodological and practical advancements.
We enumerate the large number of epidemiological datasets and novel data streams that are relevant to epidemic forecasting.
We also discuss experiences and challenges that arise in real-world deployment of these forecasting systems.
arXiv Detail & Related papers (2022-07-19T16:15:11Z) - Internet-of-Things Devices and Assistive Technologies for Healthcare:
Applications, Challenges, and Opportunities [5.8497361730688695]
Hospitals and clinics no longer have the ability to accommodate large numbers of incoming patients.
It is clear that the current state of the health industry needs to improve its valuable and limited resources.
The evolution of the Internet of Things (IoT) devices along with assistive technologies can alleviate the problem in healthcare.
arXiv Detail & Related papers (2021-07-11T12:18:12Z) - The Role of Robotics in Infectious Disease Crises [46.43737882437637]
The recent coronavirus pandemic has highlighted the challenges faced by the healthcare, public safety, and economic systems when confronted with a surge in patients.
There is a complementary need to anticipate and address the engineering challenges associated with infectious disease emergencies.
As technical capabilities advance and as the installed base of robotic systems increases in the future, they could play a much more significant role in future crises.
arXiv Detail & Related papers (2020-10-19T22:54:12Z) - Digital Ariadne: Citizen Empowerment for Epidemic Control [55.41644538483948]
The COVID-19 crisis represents the most dangerous threat to public health since the H1N1 pandemic of 1918.
Technology-assisted location and contact tracing, if broadly adopted, may help limit the spread of infectious diseases.
We present a tool, called 'diAry' or 'digital Ariadne', based on voluntary location and Bluetooth tracking on personal devices.
arXiv Detail & Related papers (2020-04-16T15:53:42Z) - Edge Computing For Smart Health: Context-aware Approaches,
Opportunities, and Challenges [13.506100532943162]
Among the most promising approaches for enabling smart healthcare (s-health) are edge-computing capabilities and next-generation wireless networking technologies.
We envision a MEC-based architecture and discuss the benefits that it can bring to realize in-network and context-aware processing.
We present two main functionalities that can be implemented leveraging such an architecture to provide efficient data delivery.
arXiv Detail & Related papers (2020-04-15T19:50:24Z) - Mapping the Landscape of Artificial Intelligence Applications against
COVID-19 [59.30734371401316]
COVID-19, the disease caused by the SARS-CoV-2 virus, has been declared a pandemic by the World Health Organization.
We present an overview of recent studies using Machine Learning and, more broadly, Artificial Intelligence to tackle many aspects of the COVID-19 crisis.
arXiv Detail & Related papers (2020-03-25T12:30:33Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.