eHealth over 5G: A Signal Processing-based approach

Traditional healthcare systems cannot satisfy anymore the needs of a continuously growing and developing society. The world today needs to face problems such as the aging of population, and the inherent need of assisted-living environments for elderly people. The upcoming 5G network, along with the rapid proliferation of IoT devices, will provide unprecedented benefits and innovations in several areas like data science, machine learning and signal processing which will boost many healthcare solutions. The goal of this tutorial is three-fold: i) to discuss the impact of 5G on the latest eHealth advancements by presenting innovative and efficient solutions; ii) to illustrate the aspects of applying 5G in healthcare systems by showing some practical applications and the response to technology-assisted medical care and treatments; iii) to provide further directions for research posing new problems and challenges in the eHealth field.Bio: Andrea Sciarrone was born in Livorno, Italy in 1984. He got his bachelor’s degree in Telecommunication Engineering at the University of Genoa in 2007 and the master’s degree Cum Laude in Telecommunication Engineering in 2009 in the same University. In 2014 Andrea Sciarrone got the Ph. D. degree in Ambient Intelligence at University of Genoa with a thesis on Signal Processing Algorithms for Context-Aware applications over mobile platforms. He is currently Assistant Professor and member of the research staff of the Telecommunication Research Group and, of the Digital Signal Processing (DSP) Laboratory at the University of Genoa.