Jose SevillanoJosé Luis Sevillano Ramos received his degree in Physics (electronics) and his Ph.D.
PhD of Physics - University of Seville
José Luis Sevillano Ramos received his degree in Physics (electronics) and his Ph.D. from the Universidad de Sevilla (Spain) in 1989 and 1993 respectively. He is currently a Full Professor at the same university. He has served as ViceDean of the Computer Engineering School (2004-7), Director of Innovations for Teaching (2007-8), Undergraduate Program Coordinator of Health Engineering (2012-14) and currently he is Director (Dean) of the Computer Engineering School of the Universidad de Sevilla. He's also Coordinator of the Telefónica Chair on Intelligence in Networks.
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Prof. Sevillano served as Vice President of Membership of The Society for Modelling and Simulation International (SCS) in 2009-2011. He is Associate Editor of Simulation (Sage) and the International Journal of Communication Systems (Wiley). He has guest edited several special issues and served in the organizing committee of several international conferences, including General Chair of ICETE 2011, SPECTS 2011 and SPECTS 2012. He is also a member of the Steering Committee of SPECTS and CITS. He is author/co-author of more than 80 papers in refereed international journals and conferences, and has participated in more than 20 national and international research projects and contracts. As a co-author, he got the Best Paper Award in the 13th Communications & Networking Simulation Symposium (CNS 2010). His research interests include real-time communications and architectures, Mobile Robots and eHealth and Rehabilitation Systems. Prof. Sevillano is an IEEE Senior Member.
Title and abstract
Connected Health: recent advances and trends in technology-based healthcare
Connected Health is a recently proposed model that depicts the profound changes of healthcare delivered with current technologies. On the one hand, modern mobile phones and devices incorporate advanced functions to capture and transmit events and health information. Accelerometers embedded in smartphones and wearable devices can monitor physical activity, and non-expensive sensors can collect and transmit heath data including: weight, blood pressure, heart rate, temperature, glucose, etc. On the other hand, smart tools can process and analyze this consumer-generated data allowing more precise diagnostics and personalized health recommendations. This approach enhances self-management and monitoring of chronic diseases, improving patient experiences, education, adherence to treatments and wellbeing. In addition, health care costs are reduced by shifting healthcare from the traditional clinical environment to the patients' daily living. In this talk, recent advances on this hot topic are addressed, and the most important challenges are discussed. Several examples taken from recent and ongoing research projects are briefly presented, including: exer-games for elderly people (GameUp: www.gameupproject.eu), sleep quality and fatigue in cancer patients, and health recommender systems in a smoking cessation program (SmokeFreeBrain: smokefreebrain.eu/).