Mobile Monitoring and Reasoning Methods to Prevent Cardiovascular Diseases

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 envir...

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Main Authors: Diego López-de-Ipiña, José Bravo, Federico Castanedo, David Ausín, Ramón Hervás, Jesús Fontecha
Format: Article
Language:English
Published: MDPI AG 2013-05-01
Series:Sensors
Subjects:
Online Access:http://www.mdpi.com/1424-8220/13/5/6524
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author Diego López-de-Ipiña
José Bravo
Federico Castanedo
David Ausín
Ramón Hervás
Jesús Fontecha
author_facet Diego López-de-Ipiña
José Bravo
Federico Castanedo
David Ausín
Ramón Hervás
Jesús Fontecha
author_sort Diego López-de-Ipiña
collection DOAJ
description 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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spelling doaj.art-5d008eee1f864bbdaba21ac4185322df2022-12-22T04:25:01ZengMDPI AGSensors1424-82202013-05-011356524654110.3390/s130506524Mobile Monitoring and Reasoning Methods to Prevent Cardiovascular DiseasesDiego López-de-IpiñaJosé BravoFederico CastanedoDavid AusínRamón HervásJesús FontechaWith 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.http://www.mdpi.com/1424-8220/13/5/6524mobile monitoringambient assisted livingCVD riskblood pressurereasoning
spellingShingle Diego López-de-Ipiña
José Bravo
Federico Castanedo
David Ausín
Ramón Hervás
Jesús Fontecha
Mobile Monitoring and Reasoning Methods to Prevent Cardiovascular Diseases
Sensors
mobile monitoring
ambient assisted living
CVD risk
blood pressure
reasoning
title Mobile Monitoring and Reasoning Methods to Prevent Cardiovascular Diseases
title_full Mobile Monitoring and Reasoning Methods to Prevent Cardiovascular Diseases
title_fullStr Mobile Monitoring and Reasoning Methods to Prevent Cardiovascular Diseases
title_full_unstemmed Mobile Monitoring and Reasoning Methods to Prevent Cardiovascular Diseases
title_short Mobile Monitoring and Reasoning Methods to Prevent Cardiovascular Diseases
title_sort mobile monitoring and reasoning methods to prevent cardiovascular diseases
topic mobile monitoring
ambient assisted living
CVD risk
blood pressure
reasoning
url http://www.mdpi.com/1424-8220/13/5/6524
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