Christoph Guger, Ph.D.
CEO, g.tec medical engineering GmbH,
Guger Christoph studied biomedical engineering at the University of Technology Graz and Johns Hopkins University in Baltimore, USA and received his MSc. in 1997. From 1997 he carried out research work at the Department of Medical Informatics 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. He is co-founder of g.tec where he works since 1999. In 2004 he founded g.tec medical engineering GmbH which is situated in Upper Austria and sells the Guger Technologies products on the international market. Research interests are invasive and non-invasive brain-computer interfaces, real-time place cell analysis, high-altitude medicine, sport medicine and monitoring of neonates.
Invasive and non-invasive control of BCIs
BCI research is one of the most fascinating fields in neuroscience. Mental tasks or focused attention lead to changes in the brain's activity patterns which can be measured, analyzed and classified. The transformation of such changes into a control signal allows users to communicate or control external devices just by thinking. BCIs are an amazing technology, helping patients who have lost the ability to interact with their environment. This presentation introduces the major methodological approaches, technical issues, application examples, opportunities and limitations, current trends and much more.
This workshop is intended for people interested in learning the new skill of BCI communication and for people who are interested in combining BCI technology with their field of expertise. The workshop contains material about human computer interaction, biosignal analysis in off-line and real-time mode, rehabilitation, biomedical and electrical engineering, computer sciences and Virtual Reality. A hands-on workshop will introduce the hard- and software used for research and development, allowing attendees to try a BCI and communicate just by thinking. Participants can perform live experiments such as P300-spelling, motor imagery BCI for rehabilitation and SSVEP control.