title: Mobile monitoring and reasoning methods to prevent cardiovascular diseases.
abstract: 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.
authors.affiliation: MAmI Research Lab, University of Castilla-La Mancha, Esc. Sup. de Informática, Paseo de la Universidad, 4, 13071 Ciudad Real, Spain. ramon.hlucas@uclm.es
authors.forename: Ramón
authors.initials: R
authors.lastname: Hervás
authors.forename: Jesús
authors.initials: J
authors.lastname: Fontecha
authors.forename: David
authors.initials: D
authors.lastname: Ausín
authors.forename: Federico
authors.initials: F
authors.lastname: Castanedo
authors.forename: José
authors.initials: J
authors.lastname: Bravo
authors.forename: Diego
authors.initials: D
authors.lastname: López-de-Ipiña
mesh_terms: D002318:Cardiovascular Diseases / Q000517:prevention & control*; D040421:Cell Phone; D006801:Humans; D008991:Monitoring, Physiologic / Q000379:methods*; D012307:Risk Factors; D012984:Software; D013686:Telemetry / Q000379:methods*; D014584:User-Computer Interface