Towards a Trustworthy Patient Home-Care Thanks to an Edge-Node Infrastructure

被引：7

作者：

Ardito, Carmelo ^{[1
]}

Di Noia, Tommaso ^{[1
]}

Di Sciascio, Eugenio ^{[1
]}

Lofu, Domenico ^{[1
,2
]}

Mallardi, Giulio ^{[1
,2
]}

Pomo, Claudio ^{[1
]}

Vitulano, Felice ^{[2
]}

机构：

[1] Politecn Bari, Via E Orabona 4, I-70125 Bari, Italy

[2] Exprivia SpA, Innovat Lab, Via A Olivetti 11, I-70056 Molfetta, Italy

来源：

HUMAN-CENTERED SOFTWARE ENGINEERING, HCSE 2020 | 2020年 / 12481卷

关键词：

Anomaly detection; Edge-computing; Smart healthcare; ANOMALY DETECTION;

D O I：

10.1007/978-3-030-64266-2_11

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

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.

引用

页码：181 / 189

页数：9

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