Towards a Trustworthy Patient Home-Care Thanks to an Edge-Node Infrastructure
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.
Domains
Computer Science [cs]| Origin | Files produced by the author(s) |
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