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.
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This work is still being developed with funds granted by the Spanish Ministry of Economy and Competitiveness under project iPHealth (TIN-2013-47153-C3-1).
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© 2016 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Gachet Páez, D., Morales Botello, M.L., Puertas, E., de Buenaga, M. (2016). Health Sensors Information Processing and Analytics Using Big Data Approaches. In: Mandler, B., et al. Internet of Things. IoT Infrastructures. IoT360 2015. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 169. Springer, Cham. https://doi.org/10.1007/978-3-319-47063-4_52
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DOI: https://doi.org/10.1007/978-3-319-47063-4_52
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