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Open AccessArticle

Towards a Cascading Reasoning Framework to Support Responsive Ambient-Intelligent Healthcare Interventions

IDLab, iGent Tower—Department of Information Technology, Ghent University—imec, Technologiepark-Zwijnaarde 15, B-9052 Ghent, Belgium
Author to whom correspondence should be addressed.
Sensors 2018, 18(10), 3514;
Received: 1 September 2018 / Revised: 3 October 2018 / Accepted: 15 October 2018 / Published: 18 October 2018
In hospitals and smart nursing homes, ambient-intelligent care rooms are equipped with many sensors. They can monitor environmental and body parameters, and detect wearable devices of patients and nurses. Hence, they continuously produce data streams. This offers the opportunity to collect, integrate and interpret this data in a context-aware manner, with a focus on reactivity and autonomy. However, doing this in real time on huge data streams is a challenging task. In this context, cascading reasoning is an emerging research approach that exploits the trade-off between reasoning complexity and data velocity by constructing a processing hierarchy of reasoners. Therefore, a cascading reasoning framework is proposed in this paper. A generic architecture is presented allowing to create a pipeline of reasoning components hosted locally, in the edge of the network, and in the cloud. The architecture is implemented on a pervasive health use case, where medically diagnosed patients are constantly monitored, and alarming situations can be detected and reacted upon in a context-aware manner. A performance evaluation shows that the total system latency is mostly lower than 5 s, allowing for responsive intervention by a nurse in alarming situations. Using the evaluation results, the benefits of cascading reasoning for healthcare are analyzed. View Full-Text
Keywords: pervasive healthcare; cascading reasoning; stream reasoning pervasive healthcare; cascading reasoning; stream reasoning
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De Brouwer, M.; Ongenae, F.; Bonte, P.; De Turck, F. Towards a Cascading Reasoning Framework to Support Responsive Ambient-Intelligent Healthcare Interventions. Sensors 2018, 18, 3514.

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