scholarly journals Real-Time Remote Health Monitoring System Driven by 5G MEC-IoT

Electronics ◽  
2020 ◽  
Vol 9 (11) ◽  
pp. 1753
Author(s):  
Yangan Zhang ◽  
Guichen Chen ◽  
Hang Du ◽  
Xueguang Yuan ◽  
Michel Kadoch ◽  
...  

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.

2012 ◽  
Vol 12 (3) ◽  
pp. 566-573 ◽  
Author(s):  
Muhammad Zia Ur Rahman ◽  
Rafi Ahamed Shaik ◽  
D. V. Rama Koti Reddy

2013 ◽  
Vol 13 (9) ◽  
pp. 3276-3283 ◽  
Author(s):  
Gundlapalli Venkata Sai Karthik ◽  
Shaik Yasmin Fathima ◽  
Muhammad Zia Ur Rahman ◽  
Shaik Rafi Ahamed ◽  
Aime Lay-Ekuakille

2012 ◽  
Vol 19 (6) ◽  
pp. 10-18 ◽  
Author(s):  
Xiaohui Liang ◽  
Mrinmoy Barua ◽  
Le Chen ◽  
Rongxing Lu ◽  
Xuemin Shen ◽  
...  

Author(s):  
Manish Chaudhary

As the technology changing every year so, there has been an attempt to apply the new technology in numerous areas to increase the quality of human life. One of the main fields of research that has seen an implementation of the technology is the healthcare sector. Consequently, our paper is an effort to solve a healthcare problem currently people are facing. Main objective of our paper is to enterprise a remote healthcare system. It covers of three key parts. The first part is, detection of patient’s condition with the proposed system, second is to storing data on cloud storage and the last part is to provide the data for isolated viewing. Remote observing of the data empowers a doctor or custodian to television a patient’s health advancement from anywhere. In this project, we have obtainable an IoT architecture personalized for healthcare applications. The main motive of this scheme is to come up with a Remote Health Monitoring System that will completed with locally available sensors with a view to manufacture it reasonable for everybody


2011 ◽  
Vol 17 (7) ◽  
pp. 574-579 ◽  
Author(s):  
Karen A. Kovach ◽  
Jill Ann Aubrecht ◽  
Mary Amanda Dew ◽  
Brad Myers ◽  
Annette DeVito Dabbs

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