With the recent technological advances, it is possible to monitor vital signs using Bluetooth-enabled biometric mobile devices such as smartphones, tablets or electric wristbands. In this manuscript, we present a system to estimate the risk of cardiovascular diseases in Ambient Assisted Living environments. Cardiovascular disease risk is obtained from the monitoring of the blood pressure by means of mobile devices in combination with other clinical factors, and applying reasoning techniques based on the Systematic Coronary Risk Evaluation Project charts. We have developed an end-to-end software application for patients and physicians and a rule-based reasoning engine. We have also proposed a conceptual module to integrate recommendations to patients in their daily activities based on information proactively inferred through reasoning techniques and context-awareness. To evaluate the platform, we carried out usability experiments and performance benchmarks.

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In recent years, projects and initiatives under Internet of Things have focused mainly on establishing connectivity in a variety of challenging and constrained networking environments. Hence, a promising next step should be to build interaction models on top of this network connectivity and thus focus on the application layer, i.e. how to achieve useful aggregated functionality out of these Internet-connected ecosystems of sensors and actuators. This work analyses the adoption of Triple Spaces coordination language by very heterogeneous and resource-constrained devices and outlines how its primitives can help to develop fully distributed and very decoupled scenarios.

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