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Mobile Monitoring and Reasoning Methods to Prevent Cardiovascular Diseases

MAmI Research Lab, University of Castilla-La Mancha, Esc. Sup. de Informática, Paseo de la Universidad, 4, 13071 Ciudad Real, Spain
Deusto Institute of Technology, DeustoTech. University of Deusto, Avda. de las Universidades, 24, 48007 Bilbao, Spain
Author to whom correspondence should be addressed.
Sensors 2013, 13(5), 6524-6541;
Received: 25 March 2013 / Revised: 10 May 2013 / Accepted: 10 May 2013 / Published: 16 May 2013
PDF [834 KB, uploaded 21 June 2014]


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. View Full-Text
Keywords: mobile monitoring; ambient assisted living; CVD risk; blood pressure; reasoning mobile monitoring; ambient assisted living; CVD risk; blood pressure; reasoning
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

Hervás, R.; Fontecha, J.; Ausín, D.; Castanedo, F.; Bravo, J.; López-de-Ipiña, D. Mobile Monitoring and Reasoning Methods to Prevent Cardiovascular Diseases. Sensors 2013, 13, 6524-6541.

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