Health sensors information processing and analytics using big data approaches

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.