COLLEGA middleware for the management of participatory Mobile Health Communities
Main Author: | |
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Publication Date: | 2016 |
Other Authors: | , , , |
Format: | Conference object |
Language: | eng |
Source: | Repositório Institucional da Udesc |
dARK ID: | ark:/33523/001300000sk96 |
Download full: | https://repositorio.udesc.br/handle/UDESC/7469 |
Summary: | © 2016 IEEE.Recent advancements in wireless technologies and the widespread availability of smartphones equipped with several physical and virtual sensors are leading to the emergence of novel mobile healthcare scenarios where patients with critical physical/behavioral conditions can be provided with anywhere and anytime care assistance even while on the move. Crowdsensing, through the massive use of smartphone sensors further enhances the potential of supporting participatory management of emergency scenarios. This paper presents a macro process modelling of crowdsourced-based participatory emergency scenarios and, accordingly, proposes a crowdsensing-based middleware called COLLEGA that provides comprehensive management functionalities for supporting prompt assistance in case of a medical emergency. In particular, through participatory and opportunistic sensing, the COLLEGA framework allows dynamic formation of ad-hoc assistance groups formed by passing-by users capable of assisting mobile patients in need of help while waiting for professional caregivers and provides support for understanding the emergency situation and effectively planning and executing assistance actions. |
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COLLEGA middleware for the management of participatory Mobile Health Communities© 2016 IEEE.Recent advancements in wireless technologies and the widespread availability of smartphones equipped with several physical and virtual sensors are leading to the emergence of novel mobile healthcare scenarios where patients with critical physical/behavioral conditions can be provided with anywhere and anytime care assistance even while on the move. Crowdsensing, through the massive use of smartphone sensors further enhances the potential of supporting participatory management of emergency scenarios. This paper presents a macro process modelling of crowdsourced-based participatory emergency scenarios and, accordingly, proposes a crowdsensing-based middleware called COLLEGA that provides comprehensive management functionalities for supporting prompt assistance in case of a medical emergency. In particular, through participatory and opportunistic sensing, the COLLEGA framework allows dynamic formation of ad-hoc assistance groups formed by passing-by users capable of assisting mobile patients in need of help while waiting for professional caregivers and provides support for understanding the emergency situation and effectively planning and executing assistance actions.2024-12-06T13:43:11Z2016info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjectp. 999 - 10051530-134610.1109/ISCC.2016.7543867https://repositorio.udesc.br/handle/UDESC/7469ark:/33523/001300000sk96Proceedings - IEEE Symposium on Computers and Communications2016-AugustDe Rolt C.R.*Montanari R.Foschini L.Brocardo, Marcelo LuizDias, Julio Da Silvaengreponame:Repositório Institucional da Udescinstname:Universidade do Estado de Santa Catarina (UDESC)instacron:UDESCinfo:eu-repo/semantics/openAccess2024-12-07T20:54:19Zoai:repositorio.udesc.br:UDESC/7469Biblioteca Digital de Teses e Dissertaçõeshttps://pergamumweb.udesc.br/biblioteca/index.phpPRIhttps://repositorio-api.udesc.br/server/oai/requestri@udesc.bropendoar:63912024-12-07T20:54:19Repositório Institucional da Udesc - Universidade do Estado de Santa Catarina (UDESC)false |
dc.title.none.fl_str_mv |
COLLEGA middleware for the management of participatory Mobile Health Communities |
title |
COLLEGA middleware for the management of participatory Mobile Health Communities |
spellingShingle |
COLLEGA middleware for the management of participatory Mobile Health Communities De Rolt C.R.* |
title_short |
COLLEGA middleware for the management of participatory Mobile Health Communities |
title_full |
COLLEGA middleware for the management of participatory Mobile Health Communities |
title_fullStr |
COLLEGA middleware for the management of participatory Mobile Health Communities |
title_full_unstemmed |
COLLEGA middleware for the management of participatory Mobile Health Communities |
title_sort |
COLLEGA middleware for the management of participatory Mobile Health Communities |
author |
De Rolt C.R.* |
author_facet |
De Rolt C.R.* Montanari R. Foschini L. Brocardo, Marcelo Luiz Dias, Julio Da Silva |
author_role |
author |
author2 |
Montanari R. Foschini L. Brocardo, Marcelo Luiz Dias, Julio Da Silva |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
De Rolt C.R.* Montanari R. Foschini L. Brocardo, Marcelo Luiz Dias, Julio Da Silva |
description |
© 2016 IEEE.Recent advancements in wireless technologies and the widespread availability of smartphones equipped with several physical and virtual sensors are leading to the emergence of novel mobile healthcare scenarios where patients with critical physical/behavioral conditions can be provided with anywhere and anytime care assistance even while on the move. Crowdsensing, through the massive use of smartphone sensors further enhances the potential of supporting participatory management of emergency scenarios. This paper presents a macro process modelling of crowdsourced-based participatory emergency scenarios and, accordingly, proposes a crowdsensing-based middleware called COLLEGA that provides comprehensive management functionalities for supporting prompt assistance in case of a medical emergency. In particular, through participatory and opportunistic sensing, the COLLEGA framework allows dynamic formation of ad-hoc assistance groups formed by passing-by users capable of assisting mobile patients in need of help while waiting for professional caregivers and provides support for understanding the emergency situation and effectively planning and executing assistance actions. |
publishDate |
2016 |
dc.date.none.fl_str_mv |
2016 2024-12-06T13:43:11Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/conferenceObject |
format |
conferenceObject |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
1530-1346 10.1109/ISCC.2016.7543867 https://repositorio.udesc.br/handle/UDESC/7469 |
dc.identifier.dark.fl_str_mv |
ark:/33523/001300000sk96 |
identifier_str_mv |
1530-1346 10.1109/ISCC.2016.7543867 ark:/33523/001300000sk96 |
url |
https://repositorio.udesc.br/handle/UDESC/7469 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Proceedings - IEEE Symposium on Computers and Communications 2016-August |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
p. 999 - 1005 |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da Udesc instname:Universidade do Estado de Santa Catarina (UDESC) instacron:UDESC |
instname_str |
Universidade do Estado de Santa Catarina (UDESC) |
instacron_str |
UDESC |
institution |
UDESC |
reponame_str |
Repositório Institucional da Udesc |
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Repositório Institucional da Udesc |
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Repositório Institucional da Udesc - Universidade do Estado de Santa Catarina (UDESC) |
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ri@udesc.br |
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1842258170255245312 |