Mobile Monitoring and Reasoning Methods to Prevent Cardiovascular Diseases

Sensors

Ramón Hervás²  Jesús Fontecha²  David Ausín¹  Federico Castanedo¹  Diego López-de-Ipi༚¹ 

[1] Deusto Institute of Technology, DeustoTech. University of Deusto, Avda. de las Universidades, 24, 48007 Bilbao, Spain; E-Mails:;MAmI Research Lab, University of Castilla-La Mancha, Esc. Sup. de Informática, Paseo de la Universidad, 4, 13071 Ciudad Real, Spain; E-Mails:

关键词: mobile monitoring;    ambient assisted living;    CVD risk;    blood pressure;    reasoning;   

DOI  :  10.3390/s130506524

来源: mdpi

【 摘 要 】

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.

【 授权许可】

CC BY   
© 2013 by the authors; licensee MDPI, Basel, Switzerland.