Paving the Way for Future Internet of Things Applications in Healthcare
In this course, we will address some current real experiences that pave the way for future applications. These scenarios are focused on the use of connectable devices and advanced mobile devices that collect data (such as the omnipresent smartphones). These data are analyzed using computer science techniques, such as data mining, aiming, amongst others, at improving healthcare and offering new health related services. Some of the ideas and projects addressed in this module are still in an emerging state. This course is divided into three parts. In the first one, we will address real applications around the concept of Ambient Assisted Living. Next, we will move to the concept of mobile health, in which the smartphone plays a key role. Finally, we will address some challenges, namely interoperability problems, big data and security and privacy.
Antoni Martinez-Balleste achieved Engineer in Computer Science and Technology (Universitat Rovira i Virgili, 2002) and PhD in Telematics Engineering (Universitat Politecnica de Catalunya, thesis Real-Time Pay-per-view of Multimedia Content Protected, 2004). Specialist in the European Higher Education Space (Universitat Rovira i Virgili, 2006). Tenured associate professor at the Department of Computer Engineering and Mathematics in Universitat Rovira i Virgili (since 2003). Head of studies at URV's Technical School of Engineering (since 2005). Consultant teacher at the Universitat Oberta de Catalunya (since 2003). Member of the IEEE.
Production Year: 2017