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.
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Ardito, C. et al. (2020). Towards a Trustworthy Patient Home-Care Thanks to an Edge-Node Infrastructure. In: Bernhaupt, R., Ardito, C., Sauer, S. (eds) Human-Centered Software Engineering. HCSE 2020. Lecture Notes in Computer Science(), vol 12481. Springer, Cham. https://doi.org/10.1007/978-3-030-64266-2_11
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DOI: https://doi.org/10.1007/978-3-030-64266-2_11
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