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.
https://hal.inria.fr/hal-03250491 Contributor : Hal IfipConnect in order to contact the contributor Submitted on : Friday, June 4, 2021 - 4:59:16 PM Last modification on : Friday, June 4, 2021 - 5:07:16 PM Long-term archiving on: : Sunday, September 5, 2021 - 8:06:13 PM
File
Restricted access
To satisfy the distribution rights of the publisher, the document is embargoed
until : 2023-01-01
Carmelo Ardito, Tommaso Di Noia, Eugenio Di Sciascio, Domenico Lofú, Giulio Mallardi, et al.. Towards a Trustworthy Patient Home-Care Thanks to an Edge-Node Infrastructure. 8th International Conference on Human-Centred Software Engineering (HCSE), Nov 2020, Eindhoven, Netherlands. pp.181-189, ⟨10.1007/978-3-030-64266-2_11⟩. ⟨hal-03250491⟩