Ilias Maglogiannis, Professor and Head of the Dept. of Digital Systems in the University of Piraeus and Director of the Computational Biomedicine Laboratory, presented the live webinar “Advanced telehealth services in the new era” on Thursday October 8 as part of the IEEE Day celebrations.

IEEE is the world’s largest technical professional organization dedicated to advancing technology for the benefit of humanity. IEEE and its members inspire a global community through publications, conferences, technology standards, and professional and educational activities.
ΙΕΕΕ Engineering in Medicine and Biology Society (EMBS) is the world’s largest international society of biomedical engineers. The organization’s 12,000 members reside in some 97 countries around the world. EMBS provides its members with access to the people, practices, information, ideas and opinions that are shaping one of the fastest growing fields in science. They are researchers and educators, technicians and clinicians—biomedical engineers are the link between science and life science, creating innovations in healthcare technology for the benefit of all humanity. Since 1884, when engineers from around the world first gathered to share their ideas, the first week of October each year is dedicated to celebrating the way in which global collaboration contributes to the development of humanity. magl
Professor Ilias Maglogiannis: Telehealth and telecare are entering a new era following the principles of pervasive and ubiquitous computing, which are Decentralisation, Diversification, Connectivity and Simplicity. Novel applications are utilizing efficient processing for filtering the unnecessary data, employ context awareness and state of the art technologies such as Cloud/Edge Computing, Internet of Things (ΙοΤ), wearables and advanced sensors. In the talk we discussed methodologies and tools for composing intelligent pervasive human-centered systems, which will be able to understand the human state in assistive environments using audiovisual and biological signals. The presented methodologies aim to offer advanced services for the support of aged/disabled/chronic patients, detection of critical situations from audiovisual content and biosignals analysis for the detection of pathology as well as for treatment follow-up. Human computer interaction (HCI) issues and modern approaches such as the gamification of chronic disease management were also be discussed.

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