title: Heart health risk assessment system: a nonintrusive proposal using ontologies and expert rules.
abstract: According to the World Health Organization, the world's leading cause of death is heart disease, with nearly two million deaths per year. Although some factors are not possible to change, there are some keys that help to prevent heart diseases. One of the most important keys is to keep an active daily life, with moderate exercise. However, deciding what a moderate exercise is or when a slightly abnormal heart rate value is a risk depends on the person and the activity. In this paper we propose a context-aware system that is able to determine the activity the person is performing in an unobtrusive way. Then, we have defined ontology to represent the available knowledge about the person (biometric data, fitness status, medical information, etc.) and her current activity (level of intensity, heart rate recommended for that activity, etc.). With such knowledge, a set of expert rules based on this ontology are involved in a reasoning process to infer levels of alerts or suggestions for the users when the intensity of the activity is detected as dangerous for her health. We show how this approach can be accomplished by using only everyday devices such as a smartphone and a smartwatch.
authors.affiliation: Departamento de Ingeniería Informática, Universidad Católica San Antonio, Guadalupe, 30107 Murcia, Spain.
authors.forename: Teresa
authors.identifier: 0000-0002-6283-0486
authors.initials: T
authors.lastname: Garcia-Valverde
authors.affiliation: Departamento de Ingeniería Informática, Universidad Católica San Antonio, Guadalupe, 30107 Murcia, Spain.
authors.forename: Andrés
authors.identifier: 0000-0002-8491-4592
authors.initials: A
authors.lastname: Muñoz
authors.affiliation: Departamento de Ingeniería Informática, Universidad Católica San Antonio, Guadalupe, 30107 Murcia, Spain.
authors.forename: Francisco
authors.identifier: 0000-0003-4892-5902
authors.initials: F
authors.lastname: Arcas
authors.affiliation: Departamento de Ingeniería Informática, Universidad Católica San Antonio, Guadalupe, 30107 Murcia, Spain.
authors.forename: Andrés
authors.identifier: 0000-0003-1734-6852
authors.initials: A
authors.lastname: Bueno-Crespo
authors.affiliation: Departamento de Ingeniería Informática, Universidad Católica San Antonio, Guadalupe, 30107 Murcia, Spain.
authors.forename: Alberto
authors.identifier: 0000-0002-2219-565X
authors.initials: A
authors.lastname: Caballero
mesh_terms: D001699:Biometry; D015444:Exercise; D006331:Heart Diseases / Q000453:epidemiology* / Q000473:pathology; D006339:Heart Rate; D006801:Humans; D018570:Risk Assessment / Q000379:methods*