Course: Brain Computer Interfaces (BCI)

Course no. :n/a
ECTS credits:5
Lecturer(s):Dr.-Ing. O. Kuzmicheva
Available: winter term summer term
Course type:Lecture/practical exercises
Exam type:???
Exam requirements: 
Objectives:After completing the course, students have knowledge of the theoretical fundamentals of (hybrid) brain-computer interface systems and corresponding data processing. They also have practical skills and competences in conducting BCI experiments and applying BCIs in system or robot control.
Course contents:This course takes up the topic of human-technology interaction and provides a deeper insight into the development of brain-computer interfaces and their use in robot control. After completing the lecture, the students gain knowledge about the basics of brain-computer interface systems and corresponding data processing. In particular, the following topics will be discussed: Capture of brain activity in particular EEG, BCI paradigms (SSVEP / P300 / ErrP / ERD / ERS), data processing for non-invasive BCI systems (signal preprocessing, feature extraction and classification). In addition, so-called Hybrid Brain Computer Interfaces (hBCI) and their application in robot control are discussed.

To deepen the understanding of the contents of the lectures, theoretical exercises are combined with practical exercises and laboratory experiments. Students have the opportunity to apply and test the methods discussed in the lecture. Corresponding BCI equipment (EE caps and amplifiers) as well as software tools (Matlab, BCI2000) are available for this purpose.
Literature:• S. Zschocke, H.-C. Hansen, „Klinische Elektroenzephalographie“, Springer Verlag, 2012, 10.1007/978-3-642-19943-1
• J. Wolpaw, E. Winter Wolpaw, „Brain Computer Interfaces: Principles and Practice“, Oxford University Press, 2012, ISBN-10: 0195388852, ISBN-13: 978-0195388855
• R. Rao, „Brain-Computer Interfacing: An Introduction“, Cambridge Univer-sity Press, 2013, DOI:10.1017/CBO9781139032803
• W. van Drongelen, „Signal Processing for Neuroscientists“, Academic Press,
2007, ISBN 978-0-12-370867-0,
• einschlägige wissenschaftliche Publikationen (werden in Vorlesungen be-kanntgegeben)
available in modul:technical compulsory elective bachelor in semester 6