Ambient Assisted Living (AAL) promotes the assistance of a patient at home according to her/his Clinical Pathway, i.e., a set of diagnostic and therapeutic procedures related to the treatment of that specific patient. AAL is increasingly gaining momentum thanks to the Internet of Things (IoT). Edge-Computing would boost the AAL success, since this kind of architecture promotes a sort of distributed cloud computing at the edges of the IoT network, thus reducing latency and improving reliability. This poster paper focuses on the implementation, in a AAL system based on such an IoT-Edge-Computing coupled architecture, of an anomaly detection module able to detect deviations from the patient’s Clinical Pathway (CP) and avoid processing of inconsistent or fake data, which could result in a serious life-threatening for a patient.
Towards a Trustworthy Patient Home-Care Thanks to an Edge-Node Infrastructure / Ardito, Carmelo; Di Noia, Tommaso; Di Sciascio, Eugenio; Lofú, Domenico; Mallardi, Giulio; Pomo, Claudio; Vitulano, Felice. - STAMPA. - 12481:(2020), pp. 181-189. (Intervento presentato al convegno 8th IFIP WG 13.2 International Conference on Human-Centered Software Engineering, HCSE 2020 tenutosi a Eindhoven, The Netherlands nel November 30 – December 2, 2020) [10.1007/978-3-030-64266-2_11].
Towards a Trustworthy Patient Home-Care Thanks to an Edge-Node Infrastructure
Carmelo Ardito;Tommaso Di Noia;Eugenio Di Sciascio;Domenico Lofú;Giulio Mallardi;Claudio Pomo;
2020-01-01
Abstract
Ambient Assisted Living (AAL) promotes the assistance of a patient at home according to her/his Clinical Pathway, i.e., a set of diagnostic and therapeutic procedures related to the treatment of that specific patient. AAL is increasingly gaining momentum thanks to the Internet of Things (IoT). Edge-Computing would boost the AAL success, since this kind of architecture promotes a sort of distributed cloud computing at the edges of the IoT network, thus reducing latency and improving reliability. This poster paper focuses on the implementation, in a AAL system based on such an IoT-Edge-Computing coupled architecture, of an anomaly detection module able to detect deviations from the patient’s Clinical Pathway (CP) and avoid processing of inconsistent or fake data, which could result in a serious life-threatening for a patient.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
