Gachet Páez, DiegoAparicio Galisteo, FernandoDe Buenaga Rodríguez, ManuelAscanio, Juan Ramón2015-02-032015-02-032014Gachet-Páez, D., Aparicio-Galisteo, F., Buenaga-Rodríguez, M., & Ascanio, J. R. (2014). Big data and IoT for chronic patients monitoring. In Ubiquitous Computing & Ambient Intelligence: Personalisation and user adapted services, UCAml 2014: 8th International Conference on Ubiquitous Computing & Ambient Intelligence, December 2nd-5th 2014 (pp. 416-423). Belfast, UK: Springer International Publishing.03029743http://hdl.handle.net/11268/3825Developed countries are characterized by aging population and economical crisis, so it is desirable to reduce the costs of public and private healthcare systems. It is necessary to streamline the health system resources leading to the development of new medical services based on telemedicine, remote monitoring of chronic patients, personalized health services, new services for dependants, etc. New medical applications based on remote monitoring will significantly increasing the volume of health information to manage, including data from medical and biological sensors, is then necessary process this huge volume of data using techniques from Big Data. In this paper we propose one potential solution for creating those new services, based on Big Data processing and vital signs monitoring.engInternet of thingsCloud computingElderlySensorsconference output10.1007/978-3-319-13102-3_68restricted accessInternet - Aplicaciones en MedicinaCienciaInternetSalud