Organizer: W.G. Besio
This workshop is designed to give both novice and experienced electroencephalography (EEG) users a synopsis of the latest innovations in EEG and related areas. We will have a keynote talk by Professor Lei Ding who will review the field of EEG neuroimaging followed by talks from four groups on their latest technologies for acquiring and processing the EEG which are making the use of EEG more practical. Finally, we will have hands on demonstrations of the technologies. EEG is the recording of brain electrical activity from the scalp. The EEG measures the difference in potentials between electrodes generated by ionic currents flowing within neurons of the brain. For many years EEG has had limited use due to poor signal quality, low spatial resolution, and non-portability. Even with these limitations EEG is still a standard practice in clinical settings such as diagnosis of epilepsy and for research such as brain computer interfacing. In recent years electrodes, signal acquisition hardware, and signal processing software have undergone major improvements allowing new and improved applications of EEG. These talks will illustrate some of the latest technologies for acquiring EEG. The target audience of the workshop is the whole community of the IEEE EMBS Society interested in brain research.
List of Speakers
Lei Ding, Ph.D. Stephenson School of Biomedical Engineering, University of Oklahoma
Title: Keynote – From Dynamics to Spatial Mapping then back to Dynamics: A Brief Review of EEG Neuroimaging
Dr. Lei Ding is a Presidential Professor of Biomedical Engineering, Electrical and Computer Engineering, and Neuroscience, and Director of Institute for Biomedical Engineering, Science, and Technology (IBEST) at the University of Oklahoma. He is also an Affiliated Associate Professor at the Laureate Institute for Brain Research, Tulsa, Oklahoma. His research areas are functional neuroimaging, noninvasive neuromodulation, brain-computer interface, and imaging biomarkers for neurological and psychiatric disorders. Dr. Ding is the recipient of the National Science Foundation CAREER Award and the only recipient of the New Scientist Award from the State of Oklahoma in 2009. He is the recipient of Early Career Achievement Award of 2016 from IEEE Engineering in Medicine and Biology Society. He also serves as an Associate Editor for IEEE Transactions on Biomedical Engineering and IEEE Access, on editorial boards for several other biomedical journals, and as a reviewer for over 30 prestigious journals in the area of biomedical engineering. He has been a member of IEEE-EMBS Technical Committees on Biomedical Signal Processing and Biomedical Imaging/Image Processing and Associate Editor at EMBS Conference Editorial Board since 2008. He has served as Conference Program Chair/Co-Chair, Theme Chair/Co-Chair, Track Chair/Co-Chair or Session Chair/Co-Chair on EMBS Annual flagship conference and/or other special topic conferences (neural engineering) at EMBS since 2007, and chaired the EMBS chapter at IEEE OKC section in 2010-2011.
Walter Besio, Ph.D.,CEO, CREmedical Corp. and University of Rhode Island
Title: Tripolar Concentric Ring Electrode (TCRE) for Localizing Brain Sources
Dr. Besio is a Professor in the Department of Electrical, Computer, and Biomedical Engineering at the University of Rhode Island (URI). Dr. Besio received his M.S. and Ph.D. degrees in biomedical engineering from the University of Miami and a B.S. in electrical engineering from the University of Central Florida. Prior to joining academia, Dr. Besio worked 12+ years in the biomedical device and electronics industries. Dr. Besio specializes in research to develop innovative biomedical instrumentation for diagnosis and therapies for enhancing the lives of persons with neurological disease and disability. This work involves unique concentric electrodes for neuromodulation and brain computer interfacing (bidirectional). Dr. Besio is a co-founder of the URI Interdisciplinary Neuroscience Program that spawned the new Ryan Institute for Neuroscience. He is an Institute for Electrical and Electronics Engineers (IEEE) Senior Member, IEEE Engineering in Medicine and Biology Society (EMBS) (representative to TBioCAS and BioCAS, past EMBS Sensors Council representative, past Vice President of Finance, past North American Administrative Committee Member, past Wearable Biomedical Sensors and Systems Technical Committee Chair, past Chair Providence Chapter, and Faculty Advisor URI Student Chapter), and an active member of the American Epilepsy Society (Technical Committee). Dr. Besio has also developed intellectual property that forms the basis for his medical device startup company CREmedical Corporation. Dr. Besio is passionate about moving his research beyond the laboratory to help relieve disease, disability, pain, and suffering.
Christoph Guger; MSc. PhD, CEO, g.tec medical engineering GmbH and Guger technologies OG, Herbersteinstrasse 60, A-8020 Graz, Austria
Title: Assessment and rehabilitation with BCI technology
Christoph Guger, PhD studied biomedical engineering at the University of Technology Graz and Johns Hopkins University in Baltimore, USA. Then he carried out research work at the Department of Medical Informatics (Prof. Pfurtscheller) at the University of Technology Graz and received his PhD degree in 1999. The topic of his PhD work was the design of an EEG- based brain-computer interface. This was the first real-time BCI system with continuous feedback. He also developed the real- time analysis with common spatial patterns which is still the fastest and most accurate approach for oscillatory BCIs and developed also a P300 BCI with very high accuracy and speed. He is co-founder of g.tec where he works since 1999. g.tec is active in more than 10 international research projects in the BCI domain and neurotechnology.
Alan Macy; MS. R&D Director, BIOPAC Systems, Inc., Goleta, CA., 93117, USA
Title: EEG Slow Wave to Fast Wave Ratio as an Emotional Affect Indicator
Nicola Soldati Ph.D, Scientific Consultant and Operational Sales Manager, Brain Products GmbH Germany
Title: Challenges of fast applicable EEG sensors