TY - JOUR A1 - Morales Botello, María de la Luz AU - Gachet Páez, Diego AU - De Buenaga Rodríguez, Manuel AU - Aparicio Galisteo, Fernando AU - Busto Martínez, María José AU - Ascanio, Juan Ramón T1 - Chronic patient remote monitoring through the application of big data and internet of things Y1 - 2021 SN - 1460-4582 UR - http://hdl.handle.net/11268/10236 AB - Chronic patients could benefit from the technological advances, but the clinical approaches for this kind of patients are still limited. This paper describes a system for chronic patients monitoring both, in home and external environments. For this purpose, we used novel technologies as big data, cloud computing and internet of things (IoT). Additionally, the system has been validated for three use cases: cardiovascular disease (CVD), hypertension (HPN) and chronic obstructive pulmonary disease (COPD), which were selected for their incidence in the population. This system is innovative within e-health, mainly due to the use of a big data architecture based on open-source components, also it provides a scalable and distributed environment for storage and processing of biomedical sensor data. The proposed system enables the incorporation of non-medical data sources in order to improve the self-management of chronic diseases and to develop better strategies for health interventions for chronic and dependents patients. KW - Dolor crónico KW - Lucha contra las enfermedades KW - Tecnología electrónica KW - Calidad de vida LA - eng ER -