research-article

A Hybrid Storage Service for the Management of Big e-Health Data: A Tele-Rehabilitation Case of Study

Authors:

Alessia Bramanti,

Antonio Celesti,

Placido Bramanti,

Massimo VillariAuthors Info & Claims

Q2SWinet '16: Proceedings of the 12th ACM Symposium on QoS and Security for Wireless and Mobile Networks

Pages 1 - 8

https://doi.org/10.1145/2988272.2988276

Published: 13 November 2016 Publication History

Abstract

This paper presents a hybrid storage solution for the management of e-health data. Such a solution merges SQL-like strategies with NoSQL document based approaches in order to provide an efficient, scalable and secure storage system that can be used from one or many health care units. Starting from an Entity Relationship (E-R) model for e-health data, the paper discusses how pieces of information should be organized and stored for a quick and efficient retrieval. The paper also discusses a real use case where the proposed storage solution is adopted to manage data for neurologic Tele-Rehabilitation (TR) of patients at home. During the treatment at home, patients use wireless sensing devices to monitor their status and to provide real-time feedback during exercises. Such devices produce a hugh amount of e-health data that are sent and stored into the hybrid storage system. Experiments are performed adopting the e-health data model on both NoSQL and SQL-like implementations.

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Cited By

Celesti ASannino GBochicchio MFazio MVillari MCelesti FBonanno MCalabrò R(2023)The Tele-Rehabilitaion as a Service (TRaaS) Project: Rationale, Study Design, and Methodology2023 IEEE 19th International Conference on e-Science (e-Science)10.1109/e-Science58273.2023.10254814(1-7)Online publication date: 9-Oct-2023
https://doi.org/10.1109/e-Science58273.2023.10254814
Celesti AFazio MGalán Márquez FGlikson AMauwa HBagula ACelesti FVillari M(2019)How to Develop IoT Cloud e-Health Systems Based on FIWARE: A Lesson LearntJournal of Sensor and Actuator Networks10.3390/jsan80100078:1(7)Online publication date: 10-Jan-2019
https://doi.org/10.3390/jsan8010007
Djemaiel YBerrahal SBoudriga N(2018)A Novel Graph-Based Approach for the Management of Health Data on Cloud-Based WSANsJournal of Grid Computing10.1007/s10723-018-9438-216:2(317-344)Online publication date: 15-Dec-2018
https://dl.acm.org/doi/10.1007/s10723-018-9438-2
Show More Cited By

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Published In

cover image ACM Conferences

Q2SWinet '16: Proceedings of the 12th ACM Symposium on QoS and Security for Wireless and Mobile Networks

November 2016

148 pages

ISBN:9781450345040

DOI:10.1145/2988272

General Chair:
Mirela S.M.A. Notare
FAERO/AeroTD -- Faculdade de Tecnologia em Transporte Aéreo, Brazil
,
Program Chairs:
Edmundo Monteiro
University of Coimbra, Portugal
,
Burak Kantarci
University of Ottawa, ON, Canada

Copyright © 2016 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGSIM: ACM Special Interest Group on Simulation and Modeling

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 13 November 2016

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MSWiM '16

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SIGSIM

MSWiM '16: 19th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems

November 13 - 17, 2016

Malta, Malta

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Overall Acceptance Rate 46 of 131 submissions, 35%

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Cited By

Celesti ASannino GBochicchio MFazio MVillari MCelesti FBonanno MCalabrò R(2023)The Tele-Rehabilitaion as a Service (TRaaS) Project: Rationale, Study Design, and Methodology2023 IEEE 19th International Conference on e-Science (e-Science)10.1109/e-Science58273.2023.10254814(1-7)Online publication date: 9-Oct-2023
https://doi.org/10.1109/e-Science58273.2023.10254814
Celesti AFazio MGalán Márquez FGlikson AMauwa HBagula ACelesti FVillari M(2019)How to Develop IoT Cloud e-Health Systems Based on FIWARE: A Lesson LearntJournal of Sensor and Actuator Networks10.3390/jsan80100078:1(7)Online publication date: 10-Jan-2019
https://doi.org/10.3390/jsan8010007
Djemaiel YBerrahal SBoudriga N(2018)A Novel Graph-Based Approach for the Management of Health Data on Cloud-Based WSANsJournal of Grid Computing10.1007/s10723-018-9438-216:2(317-344)Online publication date: 15-Dec-2018
https://dl.acm.org/doi/10.1007/s10723-018-9438-2
Carnevale LCelesti AFazio MBramanti PVillari M(2017)How to enable clinical workflows to integrate big healthcare data2017 IEEE Symposium on Computers and Communications (ISCC)10.1109/ISCC.2017.8024634(857-862)Online publication date: Jul-2017
https://doi.org/10.1109/ISCC.2017.8024634
Carnevale LGalletta ACelesti AFazio MPaone MBramanti PVillari M(2017)Big Data HIS of the IRCCS-ME Future: The Osmotic Computing InfrastructureCloud Infrastructures, Services, and IoT Systems for Smart Cities10.1007/978-3-319-67636-4_21(199-207)Online publication date: 27-Oct-2017
https://doi.org/10.1007/978-3-319-67636-4_21

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