A critical analysis of an IoT—aware AAL system for elderly monitoring

Vista sencilla de ítem
dc.contributor.authorAlmeida, Aitor
dc.contributor.authorMulero, Rubén
dc.contributor.authorRametta, Piercosimo
dc.contributor.authorUrošević, Vladimir
dc.contributor.authorAndrić, Marina
dc.contributor.authorPatrono, Luigi
dc.date.accessioned2024-11-07T10:26:23Z
dc.date.available2024-11-07T10:26:23Z
dc.date.issued2019-08
dc.date.updated2024-11-07T10:26:23Z
dc.description.abstractA growing number of elderly people (65+ years old) are affected by particular conditions, such as Mild Cognitive Impairment (MCI) and frailty, which are characterized by a gradual cognitive and physical decline. Early symptoms may spread across years and often they are noticed only at late stages, when the outcomes remain irrevocable and require costly intervention plans. Therefore, the clinical utility of early detecting these conditions is of substantial importance in order to avoid hospitalization and lessen the socio-economic costs of caring, while it may also significantly improve elderly people's quality of life. This work deals with a critical performance analysis of an Internet of Things aware Ambient Assisted Living (AAL) system for elderly monitoring. The analysis is focused on three main system components: (i) the City-wide data capturing layer, (ii) the Cloud-based centralized data management repository, and (iii) the risk analysis and prediction module. Each module can provide different operating modes, therefore the critical analysis aims at defining which are the best solutions according to context's needs. The proposed system architecture is used by the H2020 City4Age project to support geriatricians for the early detection of MCI and frailty conditions.en
dc.description.sponsorshipThis work was supported by the European Union's Horizon 2020 research and innovation programme [City4Age project grant number 689731]. The authors declare that there is no conflict of interest regarding the publication of this articleen
dc.identifier.citationAlmeida, A., Mulero, R., Rametta, P., Urošević, V., Andrić, M., & Patrono, L. (2019). A critical analysis of an IoT—aware AAL system for elderly monitoring. Future Generation Computer Systems, 97, 598-619. https://doi.org/10.1016/J.FUTURE.2019.03.019
dc.identifier.doi10.1016/J.FUTURE.2019.03.019
dc.identifier.issn0167-739X
dc.identifier.urihttp://hdl.handle.net/20.500.14454/1691
dc.language.isoeng
dc.publisherElsevier B.V.
dc.rights© 2019 The Authors
dc.subject.otherAmbient assisted living
dc.subject.otherBig data
dc.subject.otherBLE
dc.subject.otherData analytics
dc.subject.otherInternet of things
dc.subject.otherPerformance
dc.titleA critical analysis of an IoT—aware AAL system for elderly monitoringen
dc.typejournal article
dcterms.accessRightsopen access
oaire.citation.endPage619
oaire.citation.startPage598
oaire.citation.titleFuture Generation Computer Systems
oaire.citation.volume97
oaire.licenseConditionhttps://creativecommons.org/licenses/by-nc-nd/4.0/
oaire.versionVoR
Ficheros en el ítem
Bloque original
Mostrando 1 - 1 de 1
Miniatura
Nombre:
almeida_critical_2019.pdf
Tamaño:
4.19 MB
Formato:
Adobe Portable Document Format
Descargar
Colecciones
Artículos