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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 IzadiDue 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 - 2833Publisher
IEEELocation
Vancouver, CanadaPlace of publication
Piscataway, N.J.Publisher DOI
Start date
2016-07-24End date
2016-07-29eISSN
2161-4407ISBN-13
9781509006205Language
engPublication classification
E Conference publication; E1 Full written paper - refereedCopyright notice
2016, IEEETitle of proceedings
IJCNN 2016: Proceedings of the IEEE International Joint Conference on Neural NetworksUsage metrics
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