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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Molecular Diversity Preservation International (MDPI)
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3690068/ https://www.ncbi.nlm.nih.gov/pubmed/23681093 http://dx.doi.org/10.3390/s130506524 |
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author | Hervás, Ramón Fontecha, Jesús Ausín, David Castanedo, Federico López-de-Ipiña, Diego Bravo, José |
author_facet | Hervás, Ramón Fontecha, Jesús Ausín, David Castanedo, Federico López-de-Ipiña, Diego Bravo, José |
author_sort | Hervás, Ramón |
collection | PubMed |
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. |
format | Online Article Text |
id | pubmed-3690068 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Molecular Diversity Preservation International (MDPI) |
record_format | MEDLINE/PubMed |
spelling | pubmed-36900682013-07-09 Mobile Monitoring and Reasoning Methods to Prevent Cardiovascular Diseases Hervás, Ramón Fontecha, Jesús Ausín, David Castanedo, Federico López-de-Ipiña, Diego Bravo, José Sensors (Basel) Article 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. Molecular Diversity Preservation International (MDPI) 2013-05-16 /pmc/articles/PMC3690068/ /pubmed/23681093 http://dx.doi.org/10.3390/s130506524 Text en © 2013 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/ |
spellingShingle | Article Hervás, Ramón Fontecha, Jesús Ausín, David Castanedo, Federico López-de-Ipiña, Diego Bravo, José Mobile Monitoring and Reasoning Methods to Prevent Cardiovascular Diseases |
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 | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3690068/ https://www.ncbi.nlm.nih.gov/pubmed/23681093 http://dx.doi.org/10.3390/s130506524 |
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