Open Access

Electronics (Switzerland)

, том 9 , издание 11 , страницы 1753

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

Тип публикации: Journal Article

Дата публикации: 2020-10-22

MDPI

Electronics (Switzerland)

scimago Q2

wos Q2

БС2

SJR: 0.615

CiteScore: 6.1

Impact factor: 2.6

ISSN: 20799292

DOI: 10.3390/electronics9111753

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Electrical and Electronic Engineering

Hardware and Architecture

Computer Networks and Communications

Control and Systems Engineering

Signal Processing

Краткое описание

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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ГОСТ |

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ГОСТ Скопировать

Zhang Y. et al. Real-Time Remote Health Monitoring System Driven by 5G MEC-IoT // Electronics (Switzerland). 2020. Vol. 9. No. 11. p. 1753.

ГОСТ со всеми авторами (до 50) Скопировать

Zhang Y., Chen G., Du H., Xueguang Yuan X. Y., Kadoch M., CHERIET M. Real-Time Remote Health Monitoring System Driven by 5G MEC-IoT // Electronics (Switzerland). 2020. Vol. 9. No. 11. p. 1753.

RIS |

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RIS Скопировать

TY - JOUR

DO - 10.3390/electronics9111753

UR - https://doi.org/10.3390/electronics9111753

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

T2 - Electronics (Switzerland)

AU - Zhang, Yangan

AU - Chen, Guichen

AU - Du, Hang

AU - Xueguang Yuan, Xueguang Yuan

AU - Kadoch, Michel

AU - CHERIET, MOHAMED

PY - 2020

DA - 2020/10/22

PB - MDPI

SP - 1753

IS - 11

VL - 9

SN - 2079-9292

ER -

BibTex |

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@article{2020_Zhang,

author = {Yangan Zhang and Guichen Chen and Hang Du and Xueguang Yuan Xueguang Yuan and Michel Kadoch and MOHAMED CHERIET},

title = {Real-Time Remote Health Monitoring System Driven by 5G MEC-IoT},

journal = {Electronics (Switzerland)},

year = {2020},

volume = {9},

publisher = {MDPI},

month = {oct},

url = {https://doi.org/10.3390/electronics9111753},

number = {11},

pages = {1753},

doi = {10.3390/electronics9111753}

}

MLA

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MLA Скопировать

Zhang, Yangan, et al. “Real-Time Remote Health Monitoring System Driven by 5G MEC-IoT.” Electronics (Switzerland), vol. 9, no. 11, Oct. 2020, p. 1753. https://doi.org/10.3390/electronics9111753.

Издатель

MDPI

Журнал

Electronics (Switzerland)

scimago Q2

wos Q2

БС2

SJR

0.615

CiteScore

6.1

Impact factor

2.6

ISSN

20799292 (Electronic)