[u' @article{almeida_critical_2019, title = {A critical analysis of an {IoT}\u2014aware {AAL} system for elderly monitoring}, volume = {97}, issn = {0167-739X}, url = {http://www.sciencedirect.com/science/article/pii/S0167739X18321769}, doi = {10.1016/j.future.2019.03.019}, abstract = {A 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\u2019s 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\u2019s needs. The proposed system architecture is used by the H2020 City4Age project to support geriatricians for the early detection of MCI and frailty conditions.}, urldate = {2019-03-22}, journal = {Future Generation Computer Systems}, author = {Almeida, Aitor and Mulero, Rub\xe9n and Rametta, Piercosimo and Uro\u0161evi\u0107, Vladimir and Andri\u0107, Marina and Patrono, Luigi}, month = aug, year = {2019}, keywords = {AAL, AI for health, Ambient Assisted Living, Ambient assisted living, Big data, City4Age, Data analytics, Internet of Things, Internet of things, IoT, Performance, Q1, Smart Environments, elderly people, healthcare, if6.125, pervasive computing, smart cities}, pages = {598--619} }']