Research Article
Health Sensors Information Processing and Analytics Using Big Data Approaches
@INPROCEEDINGS{10.1007/978-3-319-47063-4_52, author={D. Gachet P\^{a}ez and M. Morales Botello and E. Puertas and M. Buenaga}, title={Health Sensors Information Processing and Analytics Using Big Data Approaches}, proceedings={Internet of Things. IoT Infrastructures. Second International Summit, IoT 360° 2015, Rome, Italy, October 27-29, 2015. Revised Selected Papers, Part I}, proceedings_a={IOT360}, year={2017}, month={1}, keywords={Big data Internet of things Cloud computing Elderly Sensors}, doi={10.1007/978-3-319-47063-4_52} }- D. Gachet Páez
M. Morales Botello
E. Puertas
M. Buenaga
Year: 2017
Health Sensors Information Processing and Analytics Using Big Data Approaches
IOT360
Springer
DOI: 10.1007/978-3-319-47063-4_52
Abstract
In order of maintain the sustainability of the public health systems it is necessary to develop new medical applications to reduce the affluence of chronic and dependent people to care centers and enabling the management of chronic diseases outside institutions Recent advances in wireless sensors technology applied to e-health allow the development of “personal medicine” concept, whose main objective is to identify specific therapies that make safe and effective individualized treatment of patients based for example in remote monitoring. The volume of health information to manage, including data from medical and biological sensors make necessary to use Big Data and IoT concepts for an adequate treatment of this kind of information. In this paper we present a general approach for sensor’s information processing and analytics based on Big Data concepts.
