Big data processing of bio-signal sensors information for self-management of health and diseases

Abstract

These last years developed countries and specially European countries are characterized by aging population and economical crisis, as a consequence, the funds dedicated to social services has been diminished specially those dedicated to healthcare, is then desirable to optimize the costs of public and private healthcare systems reducing the affluence of chronic and dependant people to care centers and enabling the management of chronic diseases outside institutions. It is necessary to streamline the health system resources leading to the development of new medical services based on telemedicine and biomedical sensors. New health applications based on remote monitoring will significantly increasing the volume of health information to store, manage and analyze, including heterogeneous data coming from medical records and biomedical sensors. The Big Data and IoT concepts and techniques offer an integrated approach to develop a suitable architecture for an adequate treatment of this kind of information.