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An alternative sensor cloud architecture for vital signs monitoring

conference contribution
posted on 2016-01-01, 00:00 authored by Sara Ghanavati, Jemal AbawajyJemal Abawajy, Davood Izadi
Due to recent technological advancements in wireless communications and low-power sensor devices, wireless body area networks (WBANs) has become increasingly popular in pervasive healthcare monitoring. However, continuously collecting patients' physiological signs will result in large amounts of monitored data that require a scalable architecture for storage and analysis. This fact motivates the integration of WBANs with Cloud technology to manage and store humongous data effectively. In this paper, we propose a Cloud-based WBAN framework for real-time health monitoring of patients. The significance of the proposed framework is the use of mobile technology and Cloud computing to provide services for the ill and elderly people in their independent living. This paper describes the general design of the proposed approach as well as a case study and implementation setup for the real-time monitoring and analysis process of Electromyography (EMG) healthcare system.

History

Event

Neural Networks. IEEE International Joint Conference (2016 : Vancouver, Canada)

Pagination

2827 - 2833

Publisher

IEEE

Location

Vancouver, Canada

Place of publication

Piscataway, N.J.

Start date

2016-07-24

End date

2016-07-29

eISSN

2161-4407

ISBN-13

9781509006205

Language

eng

Publication classification

E Conference publication; E1 Full written paper - refereed

Copyright notice

2016, IEEE

Title of proceedings

IJCNN 2016: Proceedings of the IEEE International Joint Conference on Neural Networks